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Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation

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Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas, 2nd Edition

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Python for Scientific Computing and Artificial Intelligence – Chapman & Hall/CRC The Python Series

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Scientific Computing with Python: Mastering Numpy and Scipy

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Principles of Parallel Scientific Computing: A First Guide to Numerical Concepts and Programming Methods (Undergraduate Topics in Computer Science)

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Introduction to Engineering and Scientific Computing with Python

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Numerical Recipes 3rd Edition: The Art of Scientific Computing

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Python for Engineering and Scientific Computing

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Fundamentals of Data Science with MATLAB: Introduction to Scientific Computing, Data Analysis, and Data Visualization

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Deep Learning and Scientific Computing with R torch (Chapman & Hall/CRC The R Series)

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Techniques of Scientific Computing (Part 1) - Solution of Equations in Rn (Volume 3) (Handbook of Numerical Analysis, Volume 3)

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Architecture of Advanced Numerical Analysis Systems: Designing a Scientific Computing System using OCaml

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Guide to Scientific Computing in C++ – Undergraduate Topics in Computer Science – Springer Verlag

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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

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JavaTech, an Introduction to Scientific and Technical Computing with Java

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Numerical Methods for Scientific Computing: The Definitive Manual for Math Geeks

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A Gentle Introduction to Scientific Computing (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

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Numerical Recipes in Basic 1ed: Companion Manual to Numerical Recipes : The Art of Scientific Computing

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Scientific Computing: An Introductory Survey (Classics in Applied Mathematics)

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OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence (Undergraduate Topics in Computer Science)

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GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning

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Computational Mathematics – Introduction to Numerical Analysis & Scientific Computing with Python

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Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 11th International NUMGRID Conference, 2022 (Lecture Notes in Computational Science and Engineering, 152)

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Scientific Computing

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Parallel Computing with C++ and GPUs: Unlock Maximum Performance for Scientific Computing, AI, and Real-Time Systems

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Numerical Recipes in C: The Art of Scientific Computing (Numerical Recipes in C book set)

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Scientific Computing with MATLAB and Octave: 2 (Texts in Computational Science and Engineering, 2)

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Numerical Recipes in Fortran 90: Volume 2, Volume 2 of Fortran Numerical Recipes: The Art of Parallel Scientific Computing

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Bayesian Scientific Computing – Applied Mathematical Sciences, 215 – Springer Verlag

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Introduction to High Performance Scientific Computing (Software, Environments, and Tools)

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Introduction to Bioinformatics and Clinical Scientific Computing

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Scientific Computing and Software: Go20 CSCS, Ghajnsielem, Malta, May 20-24, 2024 (Springer Proceedings in Mathematics & Statistics, 535)

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Verification, Validation, and Uncertainty Quantification in Scientific Computing

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Next-Generation Scientific Computing with Python and AI: Surrogate Modeling, PINNs, RL Control, and Hybrid Solvers for Modern Engineering

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Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python

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NumPy Cheat Sheet A Fast-Track Reference for Scientific Computing with Python: Essential Commands, Syntax, and Practical Examples for Fast Scientific Computing

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MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

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Mastering Fortran: A Beginner-to-Advanced Guide for Scientific Computing

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MATLAB and Simulink in Action: Programming, Scientific Computing and Simulation

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