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About 10,000 papers for “Numerical analysis”

LibGuides: Numerical Analysis / Advanced Numerical Analysis: Home

Imran Siddique · 2019

Cited by 0

Numerical Analysis

I.N. Bronshtein, K.A. Semendyayev, G. Musiol et al. · 2015

Cited by 1

Numerical analysis

Mathematics and Computers in Simulation · 1988

Cited by 0

Numerical Analysis.

W. G., David F. Griffiths · Mathematics of Computation · 1986

Cited by 0

Numerical Analysis

Dionne, Benoit · University of Ottawa - Library · 2023

This book covers the material normally presented in a two-term course on numerical analysis, starting with the basic concept and ending with topics that are more appropriate for a course in numerical analysis for differential equations: numerical solution of systems of linear and nonlinear equations, polynomial interpolation, numerical approximation of functions, numerical computation of eigenvalues, numerical derivation and integration, numerical solution of ordinary and partial differential equations. With a focus on algorithms, it can be used as an introduction to numerical analysis for engineering and applied science students. With a focus on theory, it can be used as an introduction to numerical analysis for students in mathematics or physics. Most of the numerical methods presented in this book are accompanied by a MATLAB code.

Cited by 0Open access

Numerical Analysis

Curtiss, J. · Proceedings of symposia in applied mathematics · 1956

Cited by 2

Numerical Analysis

Areej Tawfeeq Hameed · Zenodo (CERN European Organization for Nuclear Research) · 2026

We offer lectures on numerical analysis for elementary school students, prepared by Professor Dr. Areej Tawfeeq Hameed

Cited by 0Open access

Numerical analysis

Das, P Sivaramakrishna, Vijayakumari, C · CERN Document Server (European Organization for Nuclear Research) · 2014

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Numerical analysis

Rao, G Shanker · CERN Document Server (European Organization for Nuclear Research) · 2006

About the Book: This book provides an introduction to Numerical Analysis for the students of Mathematics and Engineering. The book is designed in accordance with the common core syllabus of Numerical Analysis of Universities of Andhra Pradesh and also the syllabus prescribed in most of the Indian Universities. Salient features: Approximate and Numerical Solutions of Algebraic and Transcendental Equation Interpolation of Functions Numerical Differentiation and Integration and Numerical Solution of Ordinary Differential Equations The last three chapters deal with Curve Fitting, Eigen Values and Eigen Vectors of a Matrix and Regression Analysis. Each chapter is supplemented with a number of worked-out examples as well as number of problems to be solved by the students. This would help in the better understanding of the subject. Contents: Errors Solution of Algebraic and Transcendental Equations Finite Differences Interpolation with Equal Intervals Interpolation with Unequal Intervals Central Difference Interpolation Formulae Inverse Interpolation Numerical Differentiation Numerical Integration Numerical Solution of Ordinary Differential Equations Solution of Linear Equations Curve Fitting Eigen Values and Eigen Vectors of a Matrix Regression Analysis

Cited by 0