Search Results - (((((((kent OR wkant) OR mantis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

Literature and encyclopedism in Enlightenment Britain : the pursuit of complete knowledge by Rudy, Seth, 1978-

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Optimization of Observation and Control Processes. by Malyshev, V. V.

Table of Contents: “…Optimization of Informational Noise When Observing a Dynamic Object""; ""4.6. Example of Observing a Maneuvering Object""; ""Chapter 5. …”
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The Finite Element Method : a Practical Course. by Liu, G. R.

Table of Contents: “…3.4.3.3 On other means of construct shape functions3.4.4 Properties of the shape functions; 3.4.5 Formulation of finite element equations in local coordinate system; 3.4.6 Coordinate transformation; 3.4.7 Assembly of global FE equation; 3.4.8 Imposition of displacement constraints; 3.4.9 Solving the global FE equation; 3.5 Static analysis; 3.6 Analysis of free vibration (eigenvalue analysis); 3.7 Transient response; 3.7.1 Central difference algorithm; 3.7.2 Newmark's method (Newmark, 1959); 3.8 Remarks; 3.8.1 Summary of shape function properties.…”
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Data mining techniques : for marketing, sales, and customer relationship management by Berry, Michael J. A.

Table of Contents: “…-- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics : data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic cluster detection -- Knowing when to worry : hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.…”
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Explorations in Computing : an Introduction to Computer Science. by Conery, John S.

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Space division multiple access for wireless local area networks by Vandenameele, Patrick

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An introduction to computational engineering with Matlab by Yang, Xin-She

Table of Contents: “…Optimization in Engineering -- 12.1 Introduction -- 12.2 Bioinspired Algorithms -- 12.2.1 Genetic Algorithms -- 12.2.2 Neural Networks…”
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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Biological small angle scattering : theory and practice by Lattman, Eaton E. (Eaton Edward), 1940-, Grant, Thomas D. (Staff scientist), Snell, Edward H.

Table of Contents: “…3.6 Summary4. Shape Reconstructions from Small Angle Scattering Data; 4.1 Calculating Scattering Profiles from Three-Dimensional Models; 4.1.1 Debye Equation; 4.1.2 Gaining a Feel for the Spherical Harmonic Function; 4.1.3 Spherical Harmonic Representation of Envelopes; 4.1.4 Expansion of the Structure Factor Equation in Spherical Harmonics; 4.1.5 Zernicke Polynomial Expansion; 4.1.6 Solvent Considerations; 4.2 Ab Initio Modeling; 4.2.1 Modeling by Simple Shapes; 4.2.2 Simple Model Examples; 4.2.3 Envelope Fitting Using Analytical Functions…”
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Seismic Data Interpretation using Digital Image Processing by Al-Shuhail, Abdullatif A., Al-Dossary, Saleh A., Mousa, Wail A.

Table of Contents: “…5.5 Two-Dimensional Second-Order Derivative Operator5.5.1 The Coherence Attribute; 5.5.2 The Dip Attribute; 5.6 The Curvature Attribute; 5.7 Curvature of the Surface; 5.7.1 Curve, Velocity, and Curvature; 5.7.2 Surface, Tangent Plane, and Norm; 5.8 Shape Operator, Normal Curvature, and Principal Curvature; 5.8.1 Normal Curvature; 5.8.2 Shape Operator; 5.8.3 The Principal Curvatures; 5.8.4 Calculation of the Principal Curvatures; 5.8.5 Summary of Calculation of Principal Curvature for a Surface; 5.9 The Randomness Attribute; 5.10 Technique for Two-Dimensional Images.…”
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Ethnic studies in academic and research libraries

Table of Contents: “…"Build it and they will come" -- Fostering transformation -- The value of integrating African American archives into undergraduate studies -- Improving representation on Wikipedia -- Returning to where it all began and connecting the dots -- Collaborative and active engagement at the Hemispheric University -- Librarians and leaders -- Crafting contemporary indigenous studies collections in the age of algorithms -- Building a Vietnamese language collection with the Vietnamese diaspora community -- Engaging with ethnic studies librarians -- For when they arrive -- BIPOC voices speak -- Supporting faculty in indigenizing curriculum and pedagogy -- Student-driven collecting efforts and initiatives -- Making spaces for ethnic studies -- Modeling Black literature -- A perspective on Asian American studies and librarianship -- Holdings in the archives are closer than they appear -- Reclaiming the Asian American history narrative -- Connecting graduate library and information studies students with ethnic studies archives.…”
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Revolutionary routines : the habits of social transformation by Pedwell, Carolyn

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Hes-2019. by Forzan, Michele

Table of Contents: “…Cover -- Guest editorial -- Optimization of electroslag melting towards to titanium morphology improvement in combined Kroll process -- Optimal design methods for the uniform heating of tube ends for stress relieving -- Numerical simulation and verification of MHD-vortex -- Shape optimization of soft magnetic composite inserts for electromagnetic stirrer with traveling magnetic field -- Cold crucible melting with bottom pouring nozzle -- Calibration of laser welding model based on optimization techniques -- Optimal heat induction treatment of titanium alloys…”
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Kaplan's clinical hypertension by Kaplan, Norman M., 1931-2020, Victor, Ronald G., Flynn, Joseph T.

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Fundamentals of Parallel Computing. by Razdan, Sanjay

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Optimization and Inverse Problems in Electromagnetism. by Salvini, Alessandro

Table of Contents: “…Cover; EDITORIAL ADVISORY BOARD; Analytical and numerical models of the magnetoacoustic tomography with magnetic induction; Application of PSO and TLBO algorithms with neural network for optimal design of electrical machines; Comparison of three space mapping techniques on electromagnetic design optimization; Optimal shape design of multi layered IPMSM using adaptive dynamic Taylor Kriging model; Design by optimization of controlled static converters with EMC filters in aeronautics.…”
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Learning concurrency in Kotlin : build highly efficient and robust applications by Castiblanco Torres, Miguel Angel

Table of Contents: “…; Processes, threads, and coroutines; Processes; Threads; Coroutines; Putting things together; Introduction to concurrency; Concurrency is not parallelism; CPU-bound and I/O-bound; CPU-bound; I/O-bound; Concurrency versus parallelism in CPU-bound algorithms; Single-core execution; Parallel execution; Concurrency versus parallelism in I/O-bound algorithms; Why concurrency is often feared; Race conditions; Atomicity violation; Deadlocks; Livelocks…”
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Insect media : an archaeology of animals and technology by Parikka, Jussi, 1976-

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Active Spanwise Lift Control. by Dias, Joaquim Neto

Table of Contents: “…4.4 Physical Interpretation of Aerodynamic Modes -- 4.5 Effects of Varying Wing Planform on the Mode Shapes and Eigenvalues -- 4.6 Chapter Summary -- Chapter 5: Spatial Control of Spanwise Lift Distribution -- 5.1 Model Output Expansion into Mode Shapes -- 5.2 Threshold for Model Truncation -- 5.3 Spatial-Temporal Controller Synthesis -- 5.4 Shape Control Problem -- 5.5 Gust Load Alleviation Problem -- 5.6 Gust Load Alleviation Problem with Gust Estimation -- 5.7 Chapter Summary -- 5.8 Future Developments of This Methodology -- Appendix A -- References -- Index -- Supporting Materials…”
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