Tabla de Contenidos: “…5.2 Overview of Global Precipitation Products and Data Services -- 5.2.1 TRMM Background -- 5.2.2 TRMM Products -- 5.2.3 TRMM Data Services -- 5.2.4 Global Precipitation Measurement Mission -- 5.3 Big Data Challenges and Solutions -- 5.3.1 Big Data Challenges -- 5.3.2 Solutions -- 5.4 A Prototype -- 5.4.1 Data -- 5.4.2 System Description -- 5.4.3 Examples -- 5.5 Conclusions -- Acknowledgment -- References -- Chapter 6: Algorithmic Design Considerations for Geospatial and/or Temporal Big Data -- 6.1 Motivation -- 6.1.1 Challenges -- 6.1.1.1 Algorithmic Time Complexity -- 6.1.1.2 Algorithmic Space Complexity -- 6.2 Geospatial Big Data Algorithms: The State of the Art -- 6.2.1 Volume Algorithms -- 6.2.2 Velocity Algorithms -- 6.2.3 Variety Algorithms -- 6.3 Analysis of Classical Geospatial and Temporal Algorithms -- 6.4 Approaches to Algorithmic Adaptation for Geospatial Big Data -- 6.4.1 Divide and Conquer -- 6.4.2 Subsampling -- 6.4.3 Aggregation -- 6.4.4 Filtering -- 6.4.5 Online Algorithms -- 6.4.6 Streaming Algorithms -- 6.4.7 Iterative Algorithms -- 6.4.8 Relaxation -- 6.4.9 Convergent Algorithms -- 6.4.10 Stochastic Algorithms -- 6.4.11 Batch versus Online Algorithms -- 6.4.12 Dimensionality Reduction -- 6.4.13 Example -- 6.5 Open Challenges -- 6.6 Summary -- References -- Chapter 7: Machine Learning on Geospatial Big Data -- 7.1 Motivation -- 7.1.1 Supervised, Unsupervised, and Feature Learning -- 7.1.1.1 Supervised Learning -- 7.1.1.2 Unsupervised Learning -- 7.1.1.3 Feature Learning -- 7.1.2 Big Data Challenges -- 7.1.3 Three Vs -- 7.1.3.1 Volume -- 7.1.3.2 Velocity -- 7.1.3.3 Variety -- 7.2 Geospatial Big Data Feature Learning -- 7.2.1 Approaches to Big Data Feature Learning -- 7.3 Reducing Dimensionality of Geospatial Big Data, Making Machine Learning Tractable -- 7.3.1 Feature Construction -- 7.3.1.1 Windowing in Raster Data…”

“…In recent years, nanotechnology has ventured away from the confines of the laboratory and has been able to conquer new domains to help us live better lives. …”

Tabla de Contenidos: “…We'll Scare Customers Away -- Chapter 11 How One Article about Money Generated More Than 3,000,000 in Sales -- Putting It Into Action -- Chapter 12 Case Study 1 High-End B2B Technology Company Generates More Than 8,000,000 in Additional Revenue -- About Segue Technologies -- The Snowball Begins -- Segue Technology's Astounding Growth -- Improving the System to Produce Content -- Chapter 13 Content Subject 2 Problems: How to Turn Weaknesses into Strengths -- Chapter 14 Addressing the Elephant in the Room -- Chapter 15 How Talking about Our Problems Generated More Than 500,000 in Revenue -- Putting It Into Action -- Chapter 16 Case Study 2 An Equipment Financing Company Becomes a Digital David and Conquers the Industry Goliaths -- About Smarter Finance USA -- Smarter Finance USA Embraces They Ask, You Answer -- Smarter Finance USA Focuses on Educating Small Business Owners Searching for Equipment Loans Online…”

Tabla de Contenidos: “…Front Cover -- Multicore and GPU Programming: An Integrated Approach -- Copyright -- Dedication -- Contents -- List of Tables -- Preface -- What Is in This Book -- Using This Book as a Textbook -- Software and Hardware Requirements -- Sample Code -- Chapter 1: Introduction -- 1.1 The era of multicore machines -- 1.2 A taxonomy of parallel machines -- 1.3 A glimpse of contemporary computing machines -- 1.3.1 The cell BE processor -- 1.3.2 Nvidia's Kepler -- 1.3.3 AMD's APUs -- 1.3.4 Multicore to many-core: tilera's TILE-Gx8072 and intel's xeon phi -- 1.4 Performance metrics -- 1.5 Predicting and measuring parallel program performance -- 1.5.1 Amdahl's law -- 1.5.2 Gustafson-barsis's rebuttal -- Exercises -- Chapter 2: Multicore and parallel program design -- 2.1 Introduction -- 2.2 The PCAM methodology -- 2.3 Decomposition patterns -- 2.3.1 Task parallelism -- 2.3.2 Divide-and-conquer decomposition -- 2.3.3 Geometric decomposition -- 2.3.4 Recursive data decomposition -- 2.3.5 Pipeline decomposition -- 2.3.6 Event-based coordination decomposition -- 2.4 Program structure patterns -- 2.4.1 Single-program, multiple-data -- 2.4.2 Multiple-program, multiple-data -- 2.4.3 Master-worker -- 2.4.4 Map-reduce -- 2.4.5 Fork/join -- 2.4.6 Loop parallelism -- 2.5 Matching decomposition patterns with program structure patterns -- Exercises -- Chapter 3: Shared-memory programming: threads -- 3.1 Introduction -- 3.2 Threads -- 3.2.1 What is a thread? …”

Tabla de Contenidos: “…3.3 Types of Algorithms -- 3.3.1 Brute Force Algorithms -- 3.3.2 Divide and Conquer Algorithms -- 3.3.3 Dynamic Programming Algorithms -- 3.3.4 Greedy Algorithms -- 3.3.5 Branch and Bound Algorithms -- 3.3.6 Recursive Algorithms -- 3.3.7 Back Tracking Algorithms -- 3.3.8 Randomized Algorithms -- 3.3.9 Hill Climbing Algorithms -- 3.4 Performance Analysis -- 3.4.1 Properties of the Best Algorithms -- 3.5 Space Complexity -- 3.5.1 Instruction Space -- 3.5.2 Text Section of a Program -- 3.5.3 Data Space -- 3.5.4 Stack Space -- 3.5.5 Calculating the Instruction Space -- 3.5.6 Calculating the Data Space -- 3.5.7 Size of Data Section -- 3.5.8 Size of Rodata Section -- 3.5.9 Size of bss Section -- 3.6 Apriori Analysis -- 3.7 Asymptotic Notation -- 3.7.1 Big oh Notation (O) -- 3.7.2 Omega Notation (Ω) -- 3.7.3 Theta Notation (θ) -- 3.7.4 Little oh Notation(o) -- 3.8 Time Complexity -- 3.8.1 Time Complexity Analysis of Bubble Sort -- 3.8.2 Time Complexity Analysis of Selection Sort -- 3.9 Worst Case, Average Case and Best Case Complexity -- 3.9.1 Worst Case -- 3.9.2 Average Case -- 3.9.3 Best Case -- Summary -- Exercises -- Chapter 4 Arrays -- 4.1 Introduction -- 4.1.1 Array -- 4.2 Array Types -- 4.2.1 Single-dimensional Array -- 4.2.2 Multi-dimensional Array -- 4.2.3 N-dimensional Array -- 4.3 Array Representation -- 4.4 Initializing Arrays -- 4.5 Accessing Values of an Array -- 4.6 Array Operations -- 4.6.1 Traversing -- 4.6.2 Insertion -- 4.6.3 Deletion -- 4.6.4 Sorting -- 4.6.5 Searching -- 4.7 Arrays as Parameters -- 4.8 Character Sequences -- 4.9 Applications -- Summary -- Exercises -- Chapter 5 Linked List -- 5.1 Introduction -- 5.2 Representation of Linked List in Memory -- 5.2.1 Static Representation -- 5.2.2 Dynamic Representation -- 5.3 Singly Linked List -- 5.3.1 Operations -- 5.4 Circular Linked List -- 5.4.1 Merging of Two Circular Lists…”

Tabla de Contenidos: “…Part 6 Molding Teams to Fit Your Unique Organization -- Chapter 15 Using Teams in Small and Medium-Sized Organizations -- Focusing on the Internet -- Understanding How Teams Fits Your Organization -- Keeping it simple (1 or 2 people) -- Taking your organization to the next level (2 to 25 people) -- Growing large (25 to 250 people) -- Chapter 16 Unleashing Features Designed for Large Enterprises -- Managing Large Numbers of Teams -- Archiving a team -- Deleting a team -- Bringing in the Network Engineers -- Dividing and Conquering with Fine-Tuned Admin Roles -- Creating a Policy to Retain or Delete Content -- Exploring Enterprise Voice Features -- Reporting and Analytics -- Upgrading from Skype for Business to Teams -- Getting Help from the Experts -- Chapter 17 Learning How Teams Embraces Industry-Specific Needs -- Getting the Most from Teams for Education -- Creating a team from a class list -- Using Insights to assess student engagement -- Using FlipGrid -- Using Teams in Government Agencies -- Leveraging Teams for Consulting and Service-Based Companies -- Empowering Healthcare Providers -- Modernizing Retail Stores -- Tapping into Teams for Firstline Workers -- Part 7 The Part of Tens -- Chapter 18 Ten Tips for Better Teams Meetings -- Chatting During a Meeting -- Capturing a Meeting with a Recording -- Keeping Noise Under Control with Mute -- Blurring Your Background -- Taking Notes -- Using a Whiteboard -- Sharing Your Screen -- Taking Control of Someone Else's Screen -- Organizing Teams to Fit Your Meeting Needs -- Using Teams While a Meeting Is in Progress -- Chapter 19 Ten Teams Apps Worth Discovering -- Microsoft Office -- Task Management -- Design -- Customer Service -- Development -- Education -- Social Media -- Survey -- Marketing -- Miscellaneous -- Chapter 20 Ten Ways to Learn More About Teams -- Get Information Directly from Microsoft…”

Tabla de Contenidos: “…Chapter 13 Quiz -- Answers to Chapter 13 Quiz -- Chapter 14: Getting the Slant on Oblique Triangles -- Solving a Triangle with the Law of Sines -- When you know two angle measures -- When you know two consecutive side lengths -- Conquering a Triangle with the Law of Cosines -- SSS: Finding angles using only sides -- SAS: Tagging the angle in the middle (and the two sides) -- Filling in the Triangle by Calculating Area -- Finding area with two sides and an included angle (for SAS scenarios) -- Using Heron's Formula (for SSS scenarios) -- Making Triangles Work for You -- Practice Questions Answers and Explanations -- Whaddya Know? …”

Tabla de Contenidos: “…Overriding a default value from a subclass -- Adding extra parameters from a subclass -- Calling a base class method -- Using the same name twice -- Chapter 7 Sidestepping Errors -- Understanding Exceptions -- Handling Errors Gracefully -- Being Specific about Exceptions -- Keeping Your App from Crashing -- Adding an else to the Mix -- Using try . . . except . . . else . . . finally -- Raising Your Own Exceptions -- Book 3 Working with Libraries -- Chapter 1 Working with External Files -- Understanding Text and Binary Files -- Opening and Closing Files -- Reading a File's Contents -- Looping through a File -- Looping with readlines() -- Looping with readline() -- Appending versus overwriting files -- Using tell() to determine the pointer location -- Moving the pointer with seek() -- Reading and Copying a Binary File -- Conquering CSV Files -- Opening a CSV file -- Converting strings -- Converting to integers -- Converting to date -- Converting to Boolean -- Converting to floats -- Converting from CSV to Objects and Dictionaries -- Importing CSV to Python objects -- Importing CSV to Python dictionaries -- Chapter 2 Juggling JSON Data -- Organizing JSON Data -- Understanding Serialization -- Loading Data from JSON Files -- Converting an Excel date to a JSON date -- Looping through a keyed JSON file -- Converting Firebase timestamps to Python dates -- Loading unkeyed JSON from a Python string -- Loading keyed JSON from a Python string -- Changing JSON data -- Removing data from a dictionary -- Dumping Python Data to JSON -- Chapter 3 Interacting with the Internet -- Seeing How the Web Works -- Understanding the mysterious URL -- Exposing the HTTP headers -- Opening a URL from Python -- Posting to the web with Python -- Scraping the web with Python -- Parsing part of a page -- Storing the parsed content -- Saving scraped data to a JSON file…”

Tabla de Contenidos: “…-- Setting a flag's status -- Setting flags for different days -- Changing the default flag date -- Adding a reminder to a flag -- Attaching a flag to an outgoing message -- Changing the date on a reminder -- Saving Copies of Your Messages - or Not -- Setting Your Reply and Forward Options -- Adding Comments to a Reply or a Forward -- Sending Attachments -- Sending a file from Outlook -- Sending a file from another application -- Emailing Screenshots -- Creating Signatures for Your Messages -- Translating a Foreign-Language Message -- Chapter 6 Conquering Your Mountain of Messages -- Organizing Folders -- Creating a new mail folder -- Moving messages to another folder -- Organizing Your Email with Search Folders -- Setting up a search folder -- Using a search folder -- Deleting a search folder -- Playing by the Rules -- Creating a rule: the complete method -- Creating a rule: the quick method -- Running a rule -- Filtering Junk Email -- Fine-tuning the filter's sensitivity -- Filtering your email with sender and recipient lists -- Filtering domains -- Archiving for Posterity -- Setting up AutoArchive -- Setting AutoArchive for individual folders…”

Tabla de Contenidos: “…Front Ends and Back Ends -- Creating Messages -- The quick‐and‐dirty way -- The slow but complete way -- Setting priorities -- Setting sensitivity -- Setting other message options -- Adding an Internet link to an email message -- Reading and Replying to Email Messages -- Viewing previews of message text -- Sending a reply -- Resending messages -- Don't get caught by phishing -- That's Not My Department: Forwarding Email -- Blind Copying for Privacy -- Deleting Messages -- Saving Interrupted Messages -- Saving a Message as a File -- Chapter 5 Email Tools You Can't Do Without -- Nagging by Flagging -- One‐click flagging -- Setting flags for different days -- Changing the default flag date -- Adding a flag with a customized reminder -- Changing the date on a reminder -- Saving Copies of Your Messages -- Setting Your Reply and Forward Options -- Adding Comments to a Reply or a Forward -- Sending Attachments -- Emailing Screenshots -- Creating Signatures for Your Messages -- Chapter 6 Conquering Your Mountain of Messages -- Organizing Folders -- Creating a new mail folder -- Moving messages to another folder -- Organizing Your Email With Search Folders -- Setting up a search folder -- Using a search folder -- Deleting a search folder -- Using the Reading Pane -- Playing by the Rules -- Creating a rule -- Running a rule -- Filtering Junk Email -- Fine‐tuning the filter's sensitivity -- Filtering your email with sender and recipient lists -- Filtering domains -- Archiving for Posterity -- Setting up AutoArchive -- Setting AutoArchive for individual folders -- Starting the archive process manually -- Finding and viewing archived items -- Closing the archive data file -- Arranging Your Messages -- Viewing conversations -- Ignoring conversations -- Cleaning up conversations -- Simplifying Tasks Using Quick Steps -- Creating and managing Quick Steps…”

Tabla de Contenidos: “…-- How constant time complexity O(1) changed our lives forever -- O(1) attention conquers O(n) recurrent methods -- Attention layer -- Recurrent layer -- The magic of the computational time complexity of an attention layer -- Computational time complexity with a CPU -- Computational time complexity with a GPU -- Computational time complexity with a TPU -- TPU-LLM -- A brief journey from recurrent to attention -- A brief history -- From one token to an AI revolution -- From one token to everything -- Foundation Models -- From general purpose to specific tasks -- The role of AI professionals -- The future of AI professionals -- What resources should we use? …”

Tabla de Contenidos: “…4.1 Generating Attractor Caches from Sub-Games -- 4.2 Constructing Sub-games from Abstract Strategy Templates -- 5 Game Solving with Abstract Template-Based Caching -- 6 Experimental Evaluation -- 7 Related Work -- 8 Conclusion -- References -- Learning -- Bisimulation Learning -- 1 Introduction -- 2 Illustrative Example -- 3 Stutter-Insensitive Bisimulations of Deterministic Transition Systems -- 3.1 Model Checking -- 4 Counterexample-Guided Bisimulation Learning -- 4.1 Learner-Verifier Framework for Bisimulation Learning -- 4.2 Binary Decision Tree Partition Templates -- 5 Experimental Evaluation -- 5.1 Discrete-Time Clock Synchronization -- 5.2 Conditional Termination -- 6 Conclusion -- References -- Regular Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Regular Languages -- 3.2 Rational Transductions -- 3.3 Markov Decision Processes -- 4 Regular Markov Decision Processes -- 4.1 Undecidability of Values -- 4.2 Discounted Optimization -- 4.3 Finiteness Conditions -- 4.4 Q-Learning in RMDPs -- 5 Deep Regular Reinforcement Learning -- 5.1 Token Passing -- 5.2 Duplicating Pebbles -- 5.3 Shunting Yard Algorithm -- 5.4 Modified Tangrams -- 6 Conclusion -- References -- LTL Learning on GPUs -- 1 Introduction -- 2 Formal Preliminaries -- 3 High-Level Structure of the Algorithm -- 4 In-Memory Representation of Search Space -- 5 Correctness and Complexity of the Branch-Free Implementation of Temporal Operators -- 6 Relaxed Uniqueness Checks -- 7 Divide &amp -- Conquer -- 8 Evaluation of Algorithm Performance -- 9 Conclusion -- References -- Safe Exploration in Reinforcement Learning by Reachability Analysis over Learned Models -- 1 Introduction -- 2 Problem Setup -- 3 Verified Exploration Through Learned Models -- 3.1 Symbolic Environment Models -- 3.2 Shielding for Verified Safe Exploration…”

Tabla de Contenidos: “…Barcode Recognition -- A Little Bit About Barcodes -- EAN-13 Encoding -- Introducing Arrays -- Arrays and Laziness -- Folding over Arrays -- Modifying Array Elements -- Encoding an EAN-13 Barcode -- Constraints on Our Decoder -- Divide and Conquer -- Turning a Color Image into Something Tractable -- Parsing a Color Image -- Grayscale Conversion -- Grayscale to Binary and Type Safety -- What Have We Done to Our Image? …”

Tabla de Contenidos: “…Using the same name twice -- Chapter 7 Sidestepping Errors -- Understanding Exceptions -- Handling Errors Gracefully -- Being Specific about Exceptions -- Keeping Your App from Crashing -- Adding an else to the Mix -- Using try . . . except . . . else . . . finally -- Raising Your Own Exceptions -- Book 3 Working with Libraries -- Chapter 1 Working with External Files -- Understanding Text and Binary Files -- Opening and Closing Files -- Reading a File's Contents -- Looping through a File -- Looping with readlines() -- Looping with readline() -- Appending versus overwriting files -- Using tell() to determine the pointer location -- Moving the pointer with seek() -- Reading and Copying a Binary File -- Conquering CSV Files -- Opening a CSV file -- Converting strings -- Converting to integers -- Converting to date -- Converting to Boolean -- Converting to floats -- Converting from CSV to Objects and Dictionaries -- Importing CSV to Python objects -- Importing CSV to Python dictionaries -- Chapter 2 Juggling JSON Data -- Organizing JSON Data -- Understanding Serialization -- Loading Data from JSON Files -- Converting an Excel date to a JSON date -- Looping through a keyed JSON file -- Converting Firebase timestamps to Python dates -- Loading unkeyed JSON from a Python string -- Loading keyed JSON data from a Python string -- Changing JSON data -- Removing data from a dictionary -- Dumping Python Data to JSON -- Chapter 3 Interacting with the Internet -- Seeing How the Web Works -- Understanding the mysterious URL -- Exposing the HTTP headers -- Opening a URL from Python -- Posting to the web with Python -- Scraping the web with Python -- Parsing part of a page -- Storing the parsed content -- Saving scraped data to a JSON file -- Saving scraped data to a CSV file -- Chapter 4 Libraries, Packages, and Modules -- Understanding the Python Standard Library…”