A Primer on Scientific Programming with Python 電子書籍著者： Hans Petter Langtangen - EPUB

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言語　English
商品番号：9783662498873
発売日　2016年7月28日
出版社：Springer Berlin Heidelberg

出版社： Springer
ファイル形式　EPUB3
サイズ　21.04 MB
ダウンロードオプション:EPUB3 (Adobe DRM)

シリーズの内容

Finite Difference Computing with PDEs

Hans Petter Langtangen,Svein Linge

Introduction to Numerical Methods for Variational Problems

Hans Petter Langtangen,Kent-Andre Mardal

A Primer on Scientific Programming with Python

Hans Petter Langtangen

Finite Difference Computing with Exponential Decay Models

Hans Petter Langtangen

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A Primer on Scientific Programming with Python

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シリーズの内容

Finite Difference Computing with PDEs

Introduction to Numerical Methods for Variational Problems

A Primer on Scientific Programming with Python

Finite Difference Computing with Exponential Decay Models

関連書籍

Big Data Integration Theory

Applied Logic for Computer Scientists

Logic-Based Program Synthesis and Transformation

Lectures on Matrix Field Theory

Clusters, Orders, and Trees: Methods and Applications

Measurement, Modelling and Evaluation of Computing Systems

Meshfree Methods for Partial Differential Equations VI

Grid Generation Methods

Practical Python AI Projects

Recent Trends in Algebraic Development Techniques

Finite Difference Methods,Theory and Applications

Translational Recurrences

hp-Version Discontinuous Galerkin Methods on Polygonal and Polyhedral Meshes

Descriptional Complexity of Formal Systems

Mathematics of Program Construction

Parallel Processing and Applied Mathematics

Automated Reasoning

An Introduction to Data Analysis using Aggregation Functions in R

その他の著書

Programming for Computations - Python

Finite Difference Computing with PDEs

Programming for Computations - MATLAB/Octave

Programming for Computations - Python

Finite Difference Computing with Exponential Decay Models

A Primer on Scientific Programming with Python

Introduction to Numerical Methods for Variational Problems

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電子書籍

楽天Koboで読む理由

関連書籍

Big Data Integration Theory

Applied Logic for Computer Scientists

Logic-Based Program Synthesis and Transformation

Lectures on Matrix Field Theory

Clusters, Orders, and Trees: Methods and Applications

Measurement, Modelling and Evaluation of Computing Systems

Meshfree Methods for Partial Differential Equations VI

Grid Generation Methods

Practical Python AI Projects

Recent Trends in Algebraic Development Techniques

Finite Difference Methods,Theory and Applications

Translational Recurrences

hp-Version Discontinuous Galerkin Methods on Polygonal and Polyhedral Meshes

Descriptional Complexity of Formal Systems

Mathematics of Program Construction

Parallel Processing and Applied Mathematics

Automated Reasoning

An Introduction to Data Analysis using Aggregation Functions in R

その他の著書

Programming for Computations - Python

Finite Difference Computing with PDEs

Programming for Computations - MATLAB/Octave

Programming for Computations - Python

Finite Difference Computing with Exponential Decay Models

A Primer on Scientific Programming with Python

Introduction to Numerical Methods for Variational Problems

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