Learn IT - Books tags numerical

Micromechanics of Composites: Multipole Expansion Approach

Butterworth-Heinemann, 2013

Micromechanics of Composites: Multipole Expansion Approach is the first book to introduce micromechanics researchers to a more efficient and accurate alternative to computational micromechanics, which requires heavy computational effort and the need to extract meaningful data from a multitude of numbers produced by finite element software...

Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Packt Publishing, 2018

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j

...

Design of Steel Structures to Eurocodes (Springer Tracts in Civil Engineering)

Springer, 2018

This textbook describes the rules for the design of steel and composite building structures according to Eurocodes, covering the structure as a whole, as well as the design of individual structural components and connections. It addresses the following topics: the basis of design in the Eurocodes framework; the loads applied to...

3+1 Formalism in General Relativity: Bases of Numerical Relativity (Lecture Notes in Physics, Vol. 846)

Springer, 2012

This graduate-level, course-based text is devoted to the 3+1 formalism of general relativity, which also constitutes the theoretical foundations of numerical relativity. The book starts by establishing the mathematical background (differential geometry, hypersurfaces embedded in space-time, foliation of space-time by a family of space-like...

Numerical Polynomial Algebra

SIAM, 2004

This first book on the numerical analysis of polynomial systems is a stepping stone at the interface of symbolic computation and numerical computation. Bernard Sturmfels, Department of Mathematics, University of Berkeley

I am not familiar with any books that do such a careful job of combining numerical analysis with the algebra of...

Python Data Analysis Cookbook

Packt Publishing, 2016

Key Features

Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types

Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning

Authored by Ivan Idris, expert in python programming and proud...

Numerical and Analytical Methods with MATLAB (Applied and Computational Mechanics)

CRC Press, 2009

Numerical and Analytical Methods with MATLAB presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve systems of linear equations, ODEs, roots of transcendental equations, statistical problems, optimization problems, control systems problems, and...

Solutions Manual to accompany Nonlinear Programming: Theory and Algorithms

John Wiley & Sons, 2013

As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition. This book presents recent developments of key topics in nonlinear programming (NLP) using a logical and self-contained format. The volume is divided into three sections: convex analysis,...

Smart Structures: Innovative Systems for Seismic Response Control

CRC Press, 2008

An innovative concept, smart structural systems have proven to be extremely effective in absorbing damaging energy and/or counteracting potentially devastating force, thus limiting structural collapse and subsequent injury. As this technology rapidly evolves, there is an ever-increasing need for an authoritative reference that will allow those in...

Handbook of Grid Generation

CRC Press, 1998

Handbook of Grid Generation addresses the use of grids (meshes) in the numerical solutions of partial differential equations by finite elements, finite volume, finite differences, and boundary elements. Four parts divide the chapters: structured grids, unstructured girds, surface definition, and adaption/quality. An introduction to...

Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Apress, 2018

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book?Amazon, Microsoft, Google, and PythonAnywhere.

You will work through a series of common Python data science problems...

Applied Numerical Methods Using MATLAB

John Wiley & Sons, 2005

This book introduces applied numerical methods for engineering and science students in sophomore to senior levels; it targets the students of today who do not like or do not have time to derive and prove mathematical results. It can also serve as a reference to MATLAB applications for professional engineers and scientists, since many of the MATLAB...

Result Page: 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27