Search Results - (((((((want OR kwanta) OR mantis) OR markant) OR cantor) OR anne) OR share) OR hints) algorithms.

Biological systematics : principles and applications by Brower, Andrew V. Z. (Andrew Van Zandt), 1962-, Schuh, Randall T.

Full text (MFA users only)

Advanced wireless networks : technology and business models by Glisic, Savo G.

Table of Contents: “…16.1 Introduction 523 -- 16.2 Layering as Optimization Decomposition 524 -- 16.3 Cross-Layer Optimization 533 -- 16.4 Optimization Problem Decomposition Methods 543 -- References 554 -- 17 Network Information Theory 557 -- 17.1 Capacity of Ad Hoc Networks 557 -- 17.2 Information Theory and Network Architectures 569 -- 17.3 Cooperative Transmission in Wireless Multihop Ad Hoc Networks 577 -- References 584 -- 18 Stability of Advanced Network Architectures 585 -- 18.1 Stability of Cooperative Cognitive Wireless Networks 585 -- 18.2 System Model 586 -- 18.4 Optimal Control Policy 592 -- 18.5 Achievable Rates 594 -- 18.6 Stabilizing Transmission Policies 598 -- References 605 -- 19 Multi-Operator Spectrum Sharing 607 -- 19.1 Business Models for Spectrum Sharing 607 -- 19.2 Spectrum Sharing in Multi-hop Networks 638 -- References 656 -- 20 Large Scale Networks and Mean Field Theory 659 -- 20.1 MFT for Large Heterogeneous Cellular Networks 659 -- 20.2 Large Scale Network Model Compression 664 -- 20.3 Mean Field Theory Model of Large Scale DTN Networks 668 -- 20.4 Mean Field Modeling of Adaptive Infection Recovery in Multicast DTN Networks 674 -- 20.5 Mean Field Theory for Scale-Free Random Networks 701 -- 20.6 Spectrum Sharing and MFT 709 -- 20.7 Modeling Dynamics of Complex System 711 -- Appendix A.20 Iterative Algorithm to Solve Systems of Nonlinear ODEs (DiNSE-Algorithm) 721 -- Appendix B.20 Infection Rate of Destinations for DNCM 722 -- Appendix C.20 Infection Rate for Basic Epidemic Routing 722 -- References 722 -- 21 mmWave Networks 726 -- 21.1 mmWave Technology in Subcellular Architecture 726 -- 21.2 Microeconomics of Dynamic mmWave Networks 737 -- References 747 -- 22 Cloud Computing in Wireless Networks 750 -- 22.1 Technology Background 750 -- 22.2 System Model 752 -- 22.3 System Optimization 756 -- 22.4 Dynamic Control Algorithm 758 -- 22.5 Achievable Rates 761 -- 22.6 Stabilizing Control Policies 763 -- References 769 -- 23 Wireless Networks and Matching Theory 771.…”
Full text (MFA users only)

Politics of disinformation : the influence of fake news on the public sphere

Full text (MFA users only)

Applied mechanics and manufacturing technology : selected, peer reviewed papers of the 2011 International Conference on Applied Mechanics and Manufacturing Technology (AMMT 2011),...

Full text (MFA users only)

Creating E-Learning Games with Unity. by Horachek, David

Full text (MFA users only)

Android Sensor Programming By Example. by Nagpal, Varun

Full text (MFA users only)

AI and the future of banking by Boobier, Tony, 1956-

Full text (MFA users only)

Getting Started with Greenplum for Big Data Analytics. by Gollapudi, Sunila

Table of Contents: “…Greenplum Unified Analytics Platform (UAP) -- Big Data analytics -- platform requirements -- Greenplum Unified Analytics Platform (UAP) -- Core components -- Greenplum Database -- Hadoop (HD) -- Chorus -- Command Center -- Modules -- Database modules -- HD modules -- Data Integration Accelerator (DIA) modules -- Core architecture concepts -- Data warehousing -- Column-oriented databases -- Parallel versus distributed computing/processing -- Shared nothing, massive parallel processing (MPP) systems, and elastic scalability -- Shared disk data architecture -- Shared memory data architecture -- Shared nothing data architecture -- Data loading patterns -- Greenplum UAP components -- Greenplum Database -- The Greenplum Database physical architecture -- The Greenplum high-availability architecture -- High-speed data loading using external tables.…”
Full text (MFA users only)

Wireless sensor systems for extreme environments : space, underwater, underground and industrial

Table of Contents: “…Chapter 4 On Improving Connectivity-based Localization in Wireless Sensor Networks4.1 Introduction; 4.2 Connectivity-based Localization in One-hop Networks; 4.2.1 The Centroid Algorithm; 4.2.2 Improved Centroid Algorithms; 4.3 Connectivity-based Localization in Multi-hop Networks; 4.3.1 The DV-hop Algorithm; 4.3.2 Mathematics of Hop-count-based Localization; 4.4 On Improving Connectivity-based Localization; 4.4.1 Improvements by Adjusting Correction Factor; 4.4.2 Improvements by Exploiting Neighborhood Information; 4.5 Summary; References.…”
Full text (MFA users only)

Debates in the digital humanities 2016

Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
Full text (MFA users only)

Networks-on-chip : from implementations to programming paradigms by Ma, Sheng, Huang, Libo, 1976-, Lai, Mingche, Shi, Wei

Table of Contents: “…3.2.1 DVC scheme3.2.2 Congestion avoidance scheme; 3.3 Multiple-port shared buffer with congestion awareness; 3.3.1 DVC scheme among multiple ports; 3.3.2 Congestion avoidance scheme; 3.4 DVC router microarchitecture; 3.4.1 VC control module; 3.4.2 Metric aggregation and congestion avoidance; 3.4.3 VC allocation module; 3.5 HiBB router microarchitecture; 3.5.1 VC control module; 3.5.2 VC allocation and output port allocation; 3.5.3 VC regulation; 3.6 Evaluation; 3.6.1 DVC router evaluation; 3.6.2 HiBB router evaluation; 3.7 Chapter summary; References.…”
Full text (MFA users only)

Deep learning with Python : a hands-on introduction by Ketkar, Nikhil

Full text (MFA users only)

Deep learning for dummies by Mueller, John, 1958-, Massaron, Luca

Full text (MFA users only)

Robust and error-free geometric computing by Eberly, Dave

Full text (MFA users only)

FX barrier options : a comprehensive guide for industry quants by Dadachanji, Zareer

Table of Contents: “…Stupid; 4.10 Five things we want from a model; 4.11 Stochastic volatility (SV) models; 4.11.1 SABR model; 4.11.2 Heston model; 4.12 Mixed local/stochastic volatility (lsv) models; 4.12.1 Term structure of volatility of volatility; 4.13 Other models and methods; 4.13.1 Uncertain Volatility (UV) models; 4.13.2 Jump-diffusion models; 4.13.3 Vanna-volga methods; 5 Smile Risk Management; 5.1 Black-Scholes with term structure; 5.2 Local volatility model; 5.3 Spot risk under smile models; 5.4 Theta risk under smile models; 5.5 Mixed local/stochastic volatility models; 5.6 Static hedging; 5.7 Managing risk across businesses; 6 Numerical Methods; 6.1 Finite-difference (FD) methods; 6.1.1 Grid geometry; 6.1.2 Finite-difference schemes; 6.2 Monte Carlo (MC) methods; 6.2.1 Monte Carlo schedules; 6.2.2 Monte Carlo algorithms; 6.2.3 Variance reduction; 6.2.4 The Brownian Bridge; 6.2.5 Early…”
Full text (MFA users only)

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).…”
Full text (MFA users only)

Parallel Programming with Python. by Palach, Jan

Table of Contents: “…; Exploring common forms of parallelization; Communicating in parallel programming; Understanding shared state; Understanding message passing; Identifying parallel programming problems; Deadlock; Starvation; Race conditions; Discovering Python's parallel programming tools; The Python threading module; The Python multiprocessing module.…”
Full text (MFA users only)

Environmental modeling with GIS

Table of Contents: “…Mapping of the Dust Emission Sources -- 6.2. Sharing Data between Dispersion Modeling Tools and GIS -- 6.3. …”
Full text (MFA users only)

Advanced Artificial Intelligence.

Table of Contents: “…3.9 Influence-based Backjumping3.10 Constraint Relation Processing; 3.10.1 Unit Sharing Strategy for Identical Relation; 3.10.2 Interval Propagation; 3.10.3 Inequality Graph; 3.10.4 Inequality Reasoning; 3.11 Constraint Reasoning System COPS; 3.12 ILOG Solver; Exercise; Chapter 4 Qualitative Reasoning; 4.1 Introduction; 4.2 Basic approaches in qualitative reasoning; 4.3 Qualitative Model; 4.4 Qualitative Process; 4.5 Qualitative Simulation Reasoning; 4.5.1 Qualitative state transformation; 4.5.2 QSIM algorithm; 4.6 Algebra Approach; 4.7 Spatial Geometric Qualitative Reasoning.…”
Full text (MFA users only)

Learning OpenCV 3 Application Development. by Datta, Samyak

Full text (MFA users only)