Learn IT - Books tags differential

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

Apress, 2018

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Evolutionary Optimization Algorithms

John Wiley & Sons, 2013

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms

Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant...

Circuit Analysis I with MATLAB Computing and Simulink/SimPowerSystems Modeling

Orchard Publications, 2009

This text is an introduction to the basic principles of electrical engineering and covers DC and AC circuit analysis and Transients. It is intended for all engineering majors and presumes knowledge of first year differential and integral calculus and physics. The last two chapters include step-by-step procedures for the solutions of simple...

Linear Systems Control: Deterministic and Stochastic Methods

Springer, 2008

Control engineering is a multidisciplinary subject which is critical to the operation of modern technology and which is nearly invisible in daily life. From atomic force microscopes, through PC disk drives and drive-by-wire engine controls to Boeing 747’s and to space shuttles, multivariable controls underlie many of a the devices which are...

Geometric Methods and Applications: For Computer Science and Engineering (Texts in Applied Mathematics)

Springer, 2011

This book is an introduction to the fundamental concepts and tools needed for solving problems of a geometric nature using a computer. It attempts to fill the gap between standard geometry books, which are primarily theoretical, and applied books on computer graphics, computer vision, robotics, or machine learning.

This book...

Geometric Fundamentals of Robotics (Monographs in Computer Science)

Springer, 2004

Geometric Fundamentals of Robotics provides an elegant introduction to the geometric concepts that are important to applications in robotics. This second edition is still unique in providing a deep understanding of the subject: rather than focusing on computational results in kinematics and robotics, it includes significant state-of-the...

Circuit Analysis I: With MATLAB Applications

Orchard Publications, 2003

This text is an introduction to the basic principles of electrical engineering. It is the outgrowth of lecture notes prepared by this author while teaching for the electrical engineering and computer engineering departments at San José State University, DeAnza college, and the College of San Mateo,...

Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)

Oxford University Press, 2004

Based on the author's lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians,...

Numerical Methods for the Life Scientist: Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB

Springer, 2011

Enzyme kinetics, binding kinetics and pharmacological dose-response curves are currently analyzed by a few standard methods. Some of these, like Michaelis-Menten enzyme kinetics, use plausible approximations, others, like Hill equations for dose-response curves, are outdated. Calculating realistic reaction schemes requires numerical...

Circuit Analysis (Woodhead Publishing Series in Electronic and Optical Materials)

Woodhead Publishing, 1998

This text presents the fundamentals of circuit analysis in a way suitable for first and second year undergraduate courses in electronic or electrical engineering. It is very much a ‘theme text’ and not a work book. The author is at pains to follow the logical thread of the subject, showing that the development of topics, one from...

Mathematics for the Physical Sciences

Dover Publications, 2006

Advanced undergraduates and graduate students in the natural sciences receive a solid foundation in several fields of mathematics with this text. Topics include vector spaces and matrices; orthogonal functions; polynomial equations; asymptotic expansions; ordinary differential equations; conformal mapping; and extremum problems....

Model Reduction for Circuit Simulation (Lecture Notes in Electrical Engineering)

Springer, 2011

Simulation based on mathematical models plays a major role in computer aided design of integrated circuits (ICs). Decreasing structure sizes, increasing packing densities and driving frequencies require the use of refined mathematical models, and to take into account secondary, parasitic effects. This leads to very high dimensional problems...

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