22081Fundamentals of data analytics : with a view to machine learning
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
22082Fundamentals of data structures
Chapter 1: Introduction; Chapter 2: Arrays; Chapter 3: Stacks and queues; Chapter 4: Linked lists; Chapter 5: Trees; Chapter 6: Graphs; Chapter 7: Internal sorting; Chapter 8: External sorting; Chapter 9: Symbol tables; Chapter 10: Files.
22083Fundamentals of data structures
Introduction arrays, stacks and queues, linked lists, trees, graphs, internal sorting, external sorting, symbol tales, files.
22084Fundamentals of data structures in C
This book is divided in 10 chapters. Part about fundamentals give some description of complexity analisys and performance monitoring. Some sorting algorithms and some basic search algorithms are presented here. This section is not so exhaustive, still useful. It contains descriptions on how to abstract data types. Part about array and structures explains how aggregate data types can be used to build more complex data types and teach how to manipulate them.
22085Fundamentals of differential equations with boundary value problems : 5th ed.
Fundamentals of Differential Equations presents the basic theory of differential equations and offers a variety of modern applications in science and engineering. Available in two versions, these flexible texts offer the instructor many choices in syllabus design, course emphasis (theory, methodology, applications, and numerical methods), and in using commercially available computer software.
22086Fundamentals of differential equations with boundary value problems: 5th edition
Fundamentals of Differential Equations presents the basic theory of differential equations and offers a variety of modern applications in science and engineering. Available in two versions, these flexible texts offer the instructor many choices in syllabus design, course emphasis (theory, methodology, applications, and numerical methods), and in using commercially available computer software.
22087Fundamentals of electric circuits : 6th ed.
Part 1: DC Circuits. Part 2: AC circuits. Part 3: Advanced circuit analysis.
22088Fundamentals of Energy Production
Provides comprehensive information about the key exploration, development and optimization concepts required for gas shale reservoirs. Introduces petrophysical analysis, rock physics, geomechanics and passive seismic methods for gas shale plays.
22089Fundamentals of engineering design: Second edition
This comprehensive text provides well-organized, flexible coverage of engineering design fundamentals including problem formulation, concept generation, project planning, engineering economics, decision making, and optimization. These topics are developed from an interdisciplinary perspective that is independent of level of technical sophistication.
22090Fundamentals of engineering electromagnetics
1. The electromagnetic model; 2. Vector analysis; 3. Static electric fields; 4. Steady electric currents; 5. Stamic magnetic fields; 6. Time-Varying fields and maxwell"s equations; 7. Plane electromagnetic waves; 8. Transmission lines; 9. Waveguides and cavity resonators; 10. Antennas and antenna arrays.