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higher order energy functions can be minimized using the graph cut based expansion and swap move algorithms. The book presents results on the;
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A guide for software development of the dynamic security assessment and control of power systems, Structure Preserving Energy Functions;
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A guide for software development of the dynamic security assessment and control of power systems, Structure Preserving Energy Functions;
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theory and practice of finite element analysis using energy methods to better understand, predict, and mitigate static stress and vibration;
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), including graph zeta functions; (2) modular forms (Eisenstein series, Hecke and Dirichlet L-functions, Ramanujan's tau function, and cusp forms;
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), including graph zeta functions; (2) modular forms (Eisenstein series, Hecke and Dirichlet L-functions, Ramanujan's tau function, and cusp forms;
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Process Industry explains process integration and optimization and discusses applications for improving the energy and water efficiency;
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into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network;
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and analytic solutions of higher order differential and difference equations.;
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approach to system dynamics and automatic controls. The textbook guides students from the process of modeling using bond graphs, through;
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energy efficiency of CRN, find a secondary user spectrum allocation, perform dynamic handovers, and use efficient data communication in the;
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POWER QUALITY MEASUREMENT AND ANALYSIS USING HIGHER-ORDER STATISTICS Help protect your network with this important reference work on;
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significantly reduced energy consumption per bit. In this thesis the static and dynamic properties of GaAs-based oxide-confined VCSELs emitting;
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significantly reduced energy consumption per bit. In this thesis the static and dynamic properties of GaAs-based oxide-confined VCSELs emitting;
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transformation. This book deals with conversions from analog domain into digital domain by higher order s-to-z transformations. By using higher order;
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channel dynamics. The authors show how to pose and solve such design problems using dynamic programming techniques. Researchers and graduate;
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In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition;
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management. The other more significant aspect of this monograph is in its consideration of minimax fractional integral type problems using higher;
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understanding the derivations and limitations of lower-order dynamic models. Following these developments, multi-machine model interconnected through;
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-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms;
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basics of rates, components of energy purchases, and the methods and techniques required for maximizing energy savings and minimizing costs. For;
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on extra-tropical and tropical cyclones due to their dynamic origins. Wind energy plays a significant role in clean energy sources, and the;
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Polyhedral functions provide a model for an important class of problems that includes both linear programming and applications in data;
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Polyhedral functions provide a model for an important class of problems that includes both linear programming and applications in data;
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Discrete Networked Dynamic Systems: Analysis and Performance provides a high-level treatment of a general class of linear discrete-time;
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leverage variable scoping and closures Delve into higher-order functions - and learn how they take other functions as arguments for maximum;
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hypothesis (which may be false) and prime number theorem for graphs. Explicit constructions of graph coverings use Galois theory to generalize Cayley;
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