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Scientists and engineers often use algorithms without fully knowing what's happening inside them. This blind faith can lead to inefficient solutions and sometimes flat-out wrong ones. This book breaks open the algorithmic black boxes to help you understand how they work and why they can break down. Ideal for first-year graduate students, this book works to build both the intuitive understanding of underlying mathematical theory and useful skills for research. Examples worked out in detail provide a practical guide for using numerical methods in linear algebra, numerical analysis, and partial differential equations.
Management, Performance, and Applications of Micro Irrigation Systems, the fourth volume in the Research Advances in Sustainable Micro Irrigation series, emphasizes sustainable and meaningful methods of irrigation to counter rampant water scarcity. In many parts of the world, this scarcity significantly affects crop yield, crop quality, and, conseq
Includes decisions of the Supreme Court and various intermediate and lower courts of record; May/Aug. 1888-Sept../Dec. 1895, Superior Court of New York City; Mar./Apr. 1926-Dec. 1937/Jan. 1938, Court of Appeals.
This unique reference source, edited by the world's most respected expert on molecular interaction field software, covers all relevant principles of the GRID force field and its applications in medicinal chemistry. Entire chapters on 3D-QSAR, pharmacophore searches, docking studies, metabolism predictions and protein selectivity studies, among others, offer a concise overview of this emerging field. As an added bonus, this handbook includes a CD-ROM with the latest commercial versions of the GRID program and related software.
Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
"Cases argued and determined in the Court of Appeals, Supreme and lower courts of record of New York State, with key number annotations." (varies)
ôA timely and critically important guide focused on the competencies essential for teachers to enter the classroom and work with diverse students.öùPatrick M. Jenlink, Professor of Doctoral StudiesStephen F. Austin State University, TXôThe authors have created a comprehensive, upbeat, and positive step-by-step process on how to study for the TExES examùoffering real-life ideas that even a veteran teacher could use.öùDebra Hurst, ELL Kindergarten TeacherAustin Independent School District, TXAce the test, lower your stress, and achieve success!Best-selling author Elaine L. Wilmore and educator Amy Burkman bring extensive TExES exam-development and workshop-training experience to this co...
This Handbook's content provides a definitive overview of the research knowledge base for adolescent substance abuse, the most significant social problem of adolescence. Its contributors are leading researchers in their fields, making the volume unique in the breadth as well as depth of its coverage. Topics covered range from basic neuroscience to genetics to behavioral precursors and correlates, to social relationships, to cultural variation, to clinical correlates, to social policy. The Handbook's comprehensive scope and the depth of its analysis make it suitable both as a text for graduate level courses as well as a core reference for professionals in the field.