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Comparison of numerical-analysis software
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Eigenvalues and Optimization: Numerical Analysis Techniques
Discusses eigenvalues, their calculation methods, and their applications in optimization and numerical analysis.
Introduction to Computational Science: Course Overview and Objectives
Introduces the Computational Science option at EPFL, detailing course objectives and programming fundamentals using Python.
Numerical Analysis: Nonlinear Equations
Covers algorithms for solving mathematical problems approximately using a computer, including nonlinear equations and numerical approximation methods.
Numerical Analysis: Implicit Schemes
Covers implicit schemes in numerical analysis for solving partial differential equations.
Numerical Analysis: Stability in ODEs
Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.
Transport of Pollutants: Numerical Analysis and Equations
Discusses the numerical analysis of pollutant transport equations and their applications in environmental modeling.
Absolute Stability of Euler Progressive Method
Explores the absolute stability of the Euler Progressive method and its significance in numerical solutions of differential equations.
Programming for Engineers
Covers programming concepts, memory management, debugging, and advanced MATLAB functionalities.
Floating Point Representation in Computers
Covers the representation of real numbers in a computer using floating point representation and the dangers of significant digit cancellation.
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