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# Numerical Methods I - Basis and Fundamentals-usporedite ponude

1

## Numerical Methods I - Basis and Fundamentals (2013) (?)

### ISBN: 9789537919207 (?) ili 953791920X, nepoznati jezik, Boris Obsieger, Meki, Novi

5-10 werkdagen

bol.com

An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the re... An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga-tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back-ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des-cribed. This helps the reader to choose precision and range limits of stored num-bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi-dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses."Taal: Engels;Afmetingen: 14x244x170 mm;Gewicht: 417,00 gram;Verschijningsdatum: oktober 2013;ISBN10: 953791920X;ISBN13: 9789537919207; Engelstalig | Paperback | 2013

bol.com

An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the re... An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga-tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back-ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des-cribed. This helps the reader to choose precision and range limits of stored num-bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi-dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses."Taal: Engels;Afmetingen: 14x244x170 mm;Gewicht: 417,00 gram;Verschijningsdatum: oktober 2013;ISBN10: 953791920X;ISBN13: 9789537919207; Engelstalig | Paperback | 2013

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ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

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ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

2

## Numerical Methods I - Basis and Fundamentals (2013) (?)

### ISBN: 9789537919207 (?) ili 953791920X, na engleskom jeziku, 260 stranice, Boris Obsieger, Meki, Novi

**HRK 112 (₹ 1.072)¹**(bez obaveza)

Usually dispatched within 1-3 weeks, plus troškovi isporuke (ako krcatelj)

Od prodavatelja/starina, Atlantic Publishers and Distributors

An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga-tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back-ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des-cribed. This helps the reader to choose precision and range limits of stored num-bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi-dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses.", Paperback, Oblik: Import, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

Od prodavatelja/starina, Atlantic Publishers and Distributors

An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga-tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back-ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des-cribed. This helps the reader to choose precision and range limits of stored num-bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi-dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses.", Paperback, Oblik: Import, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

Platforma broj naloga Amazon.in: yinHszWz0iC4FWIpV7agUQOcZ7LvZu kbr1SQTFjPMtweku%2B74i6rHSp9oX etSegQJTE8mk%2BXNMGB6O1drYiNZO H9xkXNsGoyQz1uOJAMewA%2B5ad59a Y0OlIfMz%2BfDOe8X1JhR7r6Rcyyg8 Z8coC84C5EvgO1O9x3

Ključne riječi: Algebra & Trigonometry, Calculus, Geometry, Statistics, Books, Textbooks, Science & Mathematics

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ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

Ključne riječi: Algebra & Trigonometry, Calculus, Geometry, Statistics, Books, Textbooks, Science & Mathematics

Podataka iz 24.02.2017 08:08h

ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

3

## Numerical Methods I - Basis and Fundamentals (2013) (?)

### ISBN: 9789537919207 (?) ili 953791920X, na engleskom jeziku, 260 stranice, Boris Obsieger, Meki, Novi

Usually ships in 1-2 business days

Od prodavatelja/starina, Book Depository US

An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga¬tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back¬ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des¬cribed. This helps the reader to choose precision and range limits of stored num¬bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi¬dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses. Paperback, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

Od prodavatelja/starina, Book Depository US

An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga¬tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back¬ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des¬cribed. This helps the reader to choose precision and range limits of stored num¬bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi¬dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses. Paperback, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

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ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

Ključne riječi: Books, Science & Math, Mathematics, Mathematical Analysis

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ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

4

## Numerical Methods I - Basis and Fundamentals (2013) (?)

### ISBN: 9789537919207 (?) ili 953791920X, na engleskom jeziku, 260 stranice, Boris Obsieger, Meki, Koristi

Usually ships in 1-2 business days

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An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga¬tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back¬ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des¬cribed. This helps the reader to choose precision and range limits of stored num¬bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi¬dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses. Paperback, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

Od prodavatelja/starina, tabletopart

An excellent textbook recommended by universities in several countries. Primarily written for students at technical universities, it is also very useful handbook for engineers, PhD students and scientists. The book introduces the reader into numeral systems, numbers in computers, types of variables and errors. Error analyses and error estimation are accomplished by various types of regression analyses that are usually used in an experimental work by engineers and scientists. It introduces the reader into numeral systems, numbers in computers, types of variables, types of errors and methods for finding roots of polynomials. Error analyses and error estimation are supplemented by various types of regression analyses that are usually used in an experimental work by engineers and scientists. Why are the presented topics so important? Simply, they are common to all numerical methods. Possibly, the most important parts are the descriptions of differences between constant (non-random) and random variables, related types of errors and error propaga¬tions. Engineers and scientists sometimes ignore the difference between variables of different types, roughly interpreting all variables in their computations as constant variables. The consequence of such an approach is a wrong interpretation and estimation of the computation error. By understanding the sources and types of errors, they can be controlled and possibly reduced. That is of crucial importance in almost all sophisticated applications. The book is divided into seven chapters. In the first chapter, the historical back¬ground and basic properties of various numeral systems, as well as conversion of numbers from one system to another are briefly explained. In the second chapter, numbers in digital computers, namely integers and floating point numbers are des¬cribed. This helps the reader to choose precision and range limits of stored num¬bers. The third chapter explains constant variables and related numerical errors, including error propagation and algorithm instability. The forth and fifth chapters explain random variables and related random errors, uncertainty, confi¬dence level, as well as propagation of random errors. Various types of regression analyses of experimental data are described in the sixth chapter. Direct methods for finding roots of third and forth degree polynomials are described in the seventh chapter, followed by general iterative methods for polynomials of any degree. Practical application of the adopted knowledge is supported by 76 examples and 13 algorithms. In addition, the given text with 75 figures and 40 tables represents a valuable background for understanding, applying and developing various numerical analyses. Paperback, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

Platforma broj naloga Amazon.com: hY%2BmlIdl%2Bts61oZMa%2BHwE9LE rw9yeM3jDXvs4Kmh702Jzwlo5Mg26p ebATnWGmIvruRrkfNKLsxGkOCpG%2B TlX%2Bd6tpnlONiVAP6NYwigQejtGD ufrsnpPbP9ziXfmBjhI1uQ0EAWh296 U59bW4%2B7BeSuyjlg7jMq

Ključne riječi: Books, Science & Math, Mathematics, Mathematical Analysis

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ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

Ključne riječi: Books, Science & Math, Mathematics, Mathematical Analysis

Podataka iz 24.02.2017 08:08h

ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

5

## Numerical Methods I - Basis and Fundamentals (2013) (?)

### ISBN: 9789537919207 (?) ili 953791920X, na engleskom jeziku, 260 stranice, Boris Obsieger, Meki, Novi

**HRK 98 (€ 13,17)¹**(bez obaveza)

Brodova u 1-2 dana, plus troškovi isporuke (ako krcatelj)

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Taschenbuch, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

Od prodavatelja/starina, Book Depository DE

Taschenbuch, Oznaka: Boris Obsieger, Boris Obsieger, Grupa proizvoda: Book, Objavio: 2013-10-25, Studio: Boris Obsieger

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Ključne riječi: Abbildungen, Angewandte Mathematik, Forschung, Geometrie & Topologie, Geschichte, Lernen & Lehren, Mathematische Analyse, Mathematische Physik, Matrizen, Messung, Nachschlagewerke, Populär & Elementar, Reine Mathematik, Trigonometrie, Unendlichkeit, Zahlensysteme, Fremdsprachige Bücher, Wissenschaft

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ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

Ključne riječi: Abbildungen, Angewandte Mathematik, Forschung, Geometrie & Topologie, Geschichte, Lernen & Lehren, Mathematische Analyse, Mathematische Physik, Matrizen, Messung, Nachschlagewerke, Populär & Elementar, Reine Mathematik, Trigonometrie, Unendlichkeit, Zahlensysteme, Fremdsprachige Bücher, Wissenschaft

Podataka iz 24.02.2017 08:08h

ISBN (alternativni zapisi): 953-7919-20-X, 978-953-7919-20-7

### 9789537919207

### Knjige u blizini

- Obsieger, Boris: Numerical Methods I - Basis and…
- Obsieger, Boris: Numerical Methods II - Roots and…
- Obsieger, Boris: Numerical Methods III - Approximation…
- Boris Obsieger: Numerical Methods I - Basis and…
- Boris Obsieger: Numerical Methods I - Basis and…
- Boris Obsieger: Numerical Methods II - Roots and…
- Boris Obsieger: Numerical Methods II - Roots and…
- boris Obsieger: Numerical Methods III - Approximation…
- Boris Obsieger: Numerical Methods III - Approximation…
- Boris Obsieger: Numerical Methods IV - Interpolation…