Search Results - (((((((want OR when) OR semantic) OR arts) OR cantor) OR anne) OR wares) OR mantis) algorithms.

Model Building in Mathematical Programming. by Williams, H. Paul

Table of Contents: “…9.4 Extra conditions applied to linear programming models -- 9.5 Special kinds of integer programming model -- 9.6 Column generation -- Chapter 10: Building integer programming models II -- 10.1 Good and bad formulations -- 10.2 Simplifying an integer programming model -- 10.3 Economic information obtainable by integer programming -- 10.4 Sensitivity analysis and the stability of a model -- 10.5 When and how to use integer programming -- Chapter 11: The implementation of a mathematical programming system of planning -- 11.1 Acceptance and implementation…”
Full text (MFA users only)

Pharmacology in anesthesia practice

Full text (MFA users only)

High performance parallelism pearls : multicore and many-core programming approaches by Reinders, James, Jeffers, Jim (Computer engineer)

Table of Contents: “…; The Hyper-Thread Phalanx hand-partitioning technique; A lesson learned; Back to work; Data alignment; Use aligned data when possible; Redundancy can be good for you; The plesiochronous phasing barrier; Let us do something to recover this wasted time; A few "left to the reader" possibilities.…”
Full text (MFA users only)

Poetry and Mind : Tractatus Poetico-Philosophicus by Dubreuil, Laurent

Full text (MFA users only)

Super-Resolution Imaging. by Milanfar, Peyman

Full text (MFA users only)

Computational Seismology : a Practical Introduction. by Igel, Heiner

Full text (MFA users only)

Inventory management : from warehouse to distribution center by Viale, J. David

Table of Contents: “…EXERCISE 1: ObservationsTHE BASIC MANUFACTURING EQUATION -- KEY FINANCIAL RATIOS -- EXERCISE 2: Calculating Ratios -- FINANCIAL EVALUATION CHECKLIST -- Balance Sheet -- Income Statement -- Other Issues -- IDENTIFYING SUPPLIERS WITH POTENTIAL CASH-FLOW PROBLEMS -- COSTED BILL OF MATERIALS -- Explanation of Cost Buildup Product F (1 unit) -- Questions to Ask When Reviewing a Costed Bill of Materials -- ALLOCATION OF FACTORY OVERHEAD AND ACTIVITY-BASED COSTING -- Inventory Valuation -- EXERCISE 3: Valuing Inventory -- EXERCISE 4: Choose the Correct Answer…”
Full text (MFA users only)

Biomedical image analysis recipes in MATLAB : for life scientists and engineers by Reyes-Aldasoro, Constantino Carlos

Full text (MFA users only)

Advanced Computational Electromagnetic Methods. by Yu, Wenhua

Table of Contents: “…2.7 ADVANCED FORMS OF HIGH-ORDER FDTD ALGORITHMS -- REFERENCES -- 3.1 INTRODUCTION -- 3.2 FDTD CODE FOR MICROWAVE CIRCUIT SIMULATION -- 3.3 FDTD CODE USING CUDA -- 3.4 NUMERICAL RESULTS -- REFERENCES -- 4.1 INTRODUCTION -- 4.2 CURRENT STATE OF THE ART -- 4.3 FDTD EARTH-IONOSPHERE MODEL OVERVIEW -- 4.4 NEW MAGNETIZED IONOSPHERIC PLASMA ALGORITHM -- 4.5 STOCHASTIC FDTD (S-FDTD) -- 4.6 INPUT TO FDTD/S-FDTD EARTH-PLAMSA IONOSPHERE MODELS -- 4.7 CONCLUSIONS -- REFERENCES -- 5.1 INTRODUCTION -- 5.2 ENVIRONMENT REQUIREMENTS AND SETTINGS -- 5.3 CODE DEVELOPMENT -- 5.4 NUMERICAL RESULTS -- REFERENCES -- 6.1 FETI METHODS WITH ONE AND TWO LAGRANGE MULTIPLIERS -- 6.2 FETI-DP METHODS WITH ONE AND TWO LAGRANGE MULTIPLIERS -- 6.3 LM-BASED NONCONFORMAL FETI-DP METHOD -- 6.4 CE-BASED NONCONFORMAL FETI-DP METHOD -- 6.5 FETI-DP METHOD ENHANCED BY THE SECOND-ORDER TRANSMISSION CONDITION -- 6.6 HYBRID NONCONFORMAL FETI/CONFORMAL FETI-DP METHOD -- 6.7 NUMERICAL EXAMPLES -- 6.8 SUMMARY -- REFERENCES -- 7.1 NORMALIZED RESIDUAL ERROR -- 7.2 HIGH-ORDER TREATMENT OF SMOOTH TARGETS -- 7.3 THE DIPOLE ANTENNA -- 7.4 HIGH-ORDER TREATMENT OF WEDGE SINGULARITIES -- 7.5 HIGH-ORDER TREATMENT OF JUNCTIONS -- 7.7 PROSPECTS FOR CONTROLLED ACCURACY COMPUTATIONS IN THREE-DIMENSIONAL PROBLEMS -- 7.8 SUMMARY -- REFERENCES -- 8.1 INTRODUCTION -- 8.2 LOW RANK PROPERTY OF SUBMATRICES OF PARTITIONED IMPEDANCE MATRIX -- 8.3 PARTITIONING OF THE COMPUTATIONAL DOMAIN -- 8.4 LOW RANK MATRIX DECOMPOSITION -- 8.5 LOW RANK DECOMPOSITION OF MULTIPLE RIGHT SIDES -- 8.6 DIRECT SOLVER BASED ON BLOCK LU DECOMPOSITION -- 8.7 PARALLELIZATION VIA OPENMP AND BLAS LIBRARY -- 8.8 NUMERICAL EXAMPLES -- 8.9 SUMMARY -- REFERENCES -- 9.1 INTRODUCTION -- 9.2 PHYSICS-BASED MODELING FOR THE ANALYSIS OF THE MACHINE DRIVE -- 9.3 EQUIVALENT SOURCE MODELING -- 9.4 POWER CONVERTERS.…”
Full text (MFA users only)

Linearization and efficiency enhancement techniques for silicon power amplifiers : from RF to mmW by Kerhervé, Eric, Belot, Didier

Table of Contents: “…2.3.4.1 Modification of the CFB Algorithm2.3.4.2 New Architecture; 2.4 Analog Part Implementation; 2.5 Linearized Transmitter Results; 2.6 Power Consumption and Size Considerations; 2.7 Conclusion; References; 3 Transmitter Linearity and Energy Efficiency; 3.1 Introduction; 3.2 The PA Design Problem; 3.3 A Reverse Design Approach; 3.3.1 PA Operating Modes; 3.3.2 What Does "Gain" Mean When Nonlinear?…”
Full text (MFA users only)

Uncommon sense : investment wisdom since the stock market's dawn by Kemp, Michael E.

Table of Contents: “…-- NOTES -- 8 ARE COMPUTERS THE ANSWER? -- ALGORITHMS -- HIGH FREQUENCY TRADING -- THOMAS PETERFFY -- THINGS HAVEN'T ALWAYS BEEN SO FAST -- HOW FAST CAN IT GET? …”
Full text (MFA users only)

Digital information ecosystems : smart press by Augey, Dominique

Table of Contents: “…Pressure from advertisers and readers; 4.2.1. When advertisers apply the pressure; 4.2.2. When readers put pressure on advertising…”
Full text (MFA users only)

Towards Cognitive Autonomous Networks : Network Management Automation for 5G and Beyond. by Mwanje, Stephen S.

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Foreword I -- Foreword II -- Preface -- Chapter 1 The Need for Cognitive Autonomy in Communication Networks -- 1.1 Complexity in Communication Networks -- 1.1.1 The Network as a Graph -- 1.1.2 Planes, Layers, and Cross-Functional Design -- 1.1.3 New Network Technology -- 5G -- 1.1.4 Processes, Algorithms, and Automation -- 1.1.5 Network State Changes and Transitions -- 1.1.6 Multi-RAT Deployments -- 1.2 Cognition in Network Management Automation -- 1.2.1 Business, Service and Network Management Systems…”
Full text (MFA users only)

Information evaluation

Full text (MFA users only)

Wireless mesh networks by Akyildiz, Ian Fuat

Full text (MFA users only)

Multi-carrier digital communications : theory and applications of OFDM by Bahai, Ahmad R. S.

Full text (MFA users only)

Image Modeling of the Human Eye. by Acharya U, Rajendra

Full text (MFA users only)

Machine Learning in Chemical Safety and Health : Fundamentals with Applications. by Wang, Qingsheng

Table of Contents: “…Chapter 3 Flammability Characteristics Prediction Using QSPR Modeling -- 3.1 Introduction -- 3.1.1 Flammability Characteristics -- 3.1.2 QSPR Application -- 3.1.2.1 Concept of QSPR -- 3.1.2.2 Trends and Characteristics of QSPR -- 3.2 Flowchart for Flammability Characteristics Prediction -- 3.2.1 Dataset Preparation -- 3.2.2 Structure Input and Molecular Simulation -- 3.2.3 Calculation of Molecular Descriptors -- 3.2.4 Preliminary Screening of Molecular Descriptors -- 3.2.5 Descriptor Selection and Modeling -- 3.2.6 Model Validation -- 3.2.6.1 Model Fitting Ability Evaluation -- 3.2.6.2 Model Stability Analysis -- 3.2.6.3 Model Predictivity Evaluation -- 3.2.7 Model Mechanism Explanation -- 3.2.8 Summary of QSPR Process -- 3.3 QSPR Review for Flammability Characteristics -- 3.3.1 Flammability Limits -- 3.3.1.1 LFLT and LFL -- 3.3.1.2 UFLT and UFL -- 3.3.2 Flash Point -- 3.3.3 Auto-ignition Temperature -- 3.3.4 Heat of Combustion -- 3.3.5 Minimum Ignition Energy -- 3.3.6 Gas-liquid Critical Temperature -- 3.3.7 Other Properties -- 3.4 Limitations -- 3.5 Conclusions and Future Prospects -- References -- Chapter 4 Consequence Prediction Using Quantitative Property-Consequence Relationship Models -- 4.1 Introduction -- 4.2 Conventional Consequence Prediction Methods -- 4.2.1 Empirical Method -- 4.2.2 Computational Fluid Dynamics (CFD) Method -- 4.2.3 Integral Method -- 4.3 Machine Learning and Deep Learning-Based Consequence Prediction Models -- 4.4 Quantitative Property-Consequence Relationship Models -- 4.4.1 Consequence Database -- 4.4.2 Property Descriptors -- 4.4.3 Machine Learning and Deep Learning Algorithms -- 4.5 Challenges and Future Directions -- References -- Chapter 5 Machine Learning in Process Safety and Asset Integrity Management -- 5.1 Opportunities and Threats -- 5.2 State-of-the-Art Reviews -- 5.2.1 Artificial Neural Networks (ANNs).…”
Full text (MFA users only)

System and Bayesian reliability : essays in honor of Professor Richard E. Barlow on his 70th birthday

Table of Contents: “…Using the Conditional Expectation Inequality to Bound the Reliability Function; 3. Bounds When Component States Are Dependent; 4. Summary; Acknowledgements; References.…”
Full text (MFA users only)

Modeling and Optimization of Parallel and Distributed Embedded Systems. by Munir, Arslan

Full text (MFA users only)