Awesome-Algorithm-Study | 从零到一构建算法核心知识地图,打通你的任督二脉

 by   JsonChao Java Version: Current License: Apache-2.0

kandi X-RAY | Awesome-Algorithm-Study Summary

kandi X-RAY | Awesome-Algorithm-Study Summary

Awesome-Algorithm-Study is a Java library. Awesome-Algorithm-Study has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Awesome-Algorithm-Study build file is not available. You can download it from GitHub.

假设 capacity = n,n + 1 次 addLast/removeLast,触发 resize,总共进行 2n + 1 次基本操作平均来看,每次 addLast/removeLast 操作,进行 2 次基本操作均摊计算,时间复杂度为 O(1)。.
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            kandi-support Support

              Awesome-Algorithm-Study has a low active ecosystem.
              It has 90 star(s) with 15 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Awesome-Algorithm-Study has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Awesome-Algorithm-Study is current.

            kandi-Quality Quality

              Awesome-Algorithm-Study has 0 bugs and 0 code smells.

            kandi-Security Security

              Awesome-Algorithm-Study has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Awesome-Algorithm-Study code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Awesome-Algorithm-Study is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Awesome-Algorithm-Study releases are not available. You will need to build from source code and install.
              Awesome-Algorithm-Study has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              Awesome-Algorithm-Study saves you 4365 person hours of effort in developing the same functionality from scratch.
              It has 9247 lines of code, 868 functions and 335 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Awesome-Algorithm-Study and discovered the below as its top functions. This is intended to give you an instant insight into Awesome-Algorithm-Study implemented functionality, and help decide if they suit your requirements.
            • Run the test
            • Test
            • Prints the scores in ascending order
            • Test a test program
            • The main test method
            • Test a test program
            • Prints a command - line test code
            • Test the tests
            • Test program
            • Simple test
            • Main method for testing
            • Takes in an array of pixels
            • Calculates the sum of the sum of four entries
            • Print binary tree
            • Find the maximum square of a matrix
            • Calculate the knapsack algorithm
            • Calculate the length of a LIS
            • Calculate the minimum path sum
            • Compute number of decodings
            • Replace overlapping intervals
            • Reverse k group
            • Get the topK frequent locations for the specified number of features
            • Looks for all theagrams in a string p
            • Test a random dataset
            • 3 sum function
            • Returns the 4 - sum of the sum of the sum of the entries in the array
            • Solves the linear equations
            • Calculate distance between two words
            • Main test method
            Get all kandi verified functions for this library.

            Awesome-Algorithm-Study Key Features

            No Key Features are available at this moment for Awesome-Algorithm-Study.

            Awesome-Algorithm-Study Examples and Code Snippets

            Read a study by id .
            javadot img1Lines of Code : 9dot img1License : Permissive (MIT License)
            copy iconCopy
            @GetMapping("/{id}")
                public ResponseEntity read(@PathVariable("id") Long id) {
                    Student foundStudent = service.read(id);
                    if (foundStudent == null) {
                        return ResponseEntity.notFound().build();
                    } else {
                         
            Do a study .
            javadot img2Lines of Code : 4dot img2License : Non-SPDX
            copy iconCopy
            @Override
                public void study(){
                    System.out.println("Person is studying");
                }  
            Retrieves the value of a nested study
            javadot img3Lines of Code : 3dot img3License : Permissive (MIT License)
            copy iconCopy
            public static String getNestedValue(Course course, String enrollId, String nestedPropertyName) throws IllegalAccessException, InvocationTargetException, NoSuchMethodException {
                    return (String) PropertyUtils.getNestedProperty(course, "enrolled  

            Community Discussions

            No Community Discussions are available at this moment for Awesome-Algorithm-Study.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Awesome-Algorithm-Study

            You can download it from GitHub.
            You can use Awesome-Algorithm-Study like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Awesome-Algorithm-Study component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/JsonChao/Awesome-Algorithm-Study.git

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            gh repo clone JsonChao/Awesome-Algorithm-Study

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            git@github.com:JsonChao/Awesome-Algorithm-Study.git

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