Bifurcation: Analysis, Algorithms, Applications: Proceedings of the Conference at the University of Dortmund, August 18–22, 1986

Author(s): Dr. Wolf-Jürgen Beyn (auth.), T. Küpper, R. Seydel, H. Troger (eds.)
Series: ISNM 79: International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série internationale d’Analyse numérique 79
Publisher: Birkhäuser Basel, Year: 1987
ISBN: 978-3-0348-7243-0,978-3-0348-7241-6

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Discrete Algorithms and Complexity. Proceedings of the Japan–US Joint Seminar, June 4–6, 1986, Kyoto, Japan

Author(s): David S. Johnson, Takao Nishizeki, Akihiro Nozaki, Herbert S. Wilf
Series: Perspectives in Computing
Publisher: Elsevier Inc, Academic Press, Year: 1987
ISBN: 978-0-12-386870-1,012386870X

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Algorithms and Discrete Applied Mathematics: 9th International Conference, CALDAM 2023, Gandhinagar, India, February 9–11, 2023, Proceedings

Author(s): Amitabha Bagchi, Rahul Muthu
Series: Lecture Notes in Computer Science, 13947
Publisher: Springer, Year: 2023
ISBN: 3031252101,9783031252105

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3-D Computer Vision: Principles, Algorithms and Applications

Author(s): Yu-Jin Zhang
Publisher: Springer, Year: 2023
ISBN: 9789811975806,9789811975790

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Comprehensive Metaheuristics: Algorithms and Applications

Author(s): Seyedali Mirjalili, Amir Hossein Gandomi
Publisher: Academic Press, Year: 2023
ISBN: 032391781X,9780323917810

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🔰Complete DSA Roadmap🔰

|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| └─ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | └─ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | └ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | └ Bellman-Ford_Algorithm
| | |
| | └─ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | └ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | └─ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| └─ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| └─ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| └─ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| └─ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| └─ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| └─ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| └─ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| └─ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | └─ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | └─ Mobius_Function
| |
| └─ String_Algorithms
| |-- KMP_Algorithm
| └─ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank

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Data Structures and Algorithms Short Notes

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Free Big Data Courses

Complete Big Data
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Introduction to Big Data - an overview of the 10 V's
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🎬 20 video lesson
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⏰ 8 Modules
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⏰ 8 Modules
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Introduction to Algorithms
by MIT, Spring 2020

Instructor(s) 👨‍🏫

Prof. Erik Demaine
Dr. Jason Ku
Prof. Justin Solomon

🎬 21 lecture video lessons
🎬 3 quiz video lessons (4+ hours)
🎬 8 problem video sessions (12 hours)


⏰ 40 hours of video

🔗 Course home
🔗 Lecture videos
🔗 Resources

#dsa #algorithms #datastructures
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Vodafone is hiring Data Engineer

For 2023, 2022 grads

Apply Link - https://tinyurl.com/39sy2ym3

Digitech Sols is hiring for the role of Data Entry/MIS Specialist.

Experience - 1 to 6 Years
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Basic web development roadmap
🟧
1.Learn: How websites work, front-end vs back-end, code editor‌‌
🟧
2: Basic front-end:
a. Html
b. Css
c. Javascript
Expected time 7+14+30=51 days.
🟧
3. Learn front-end frameworks:
a. Learn css framework ( Bootstrap , Tailwind css , ...)
b. Learn JavaScript frameworks ( angular, react , vue...)

Expected time minimum 60 days.
🟧
4. Learn database
a. MySQL
b. MongoDB
There are many more. Choose one and learn.
🟧
5. Learn backend programming languages:
a. Php
b. Nodejs
There are many more. Learn any one.

Expected time: 60 days
🟧
6. Do some projects and clone some websites.
▫️▫️🟧▫️▫️

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You asked many times for data structures, especially in C language, so here you go:

DATA STRUCTURES LEARNING MATERIALS

Data Structures - Full Course Using C and C++
created by: freeCodeCamp
🎬 42 video lecture
⏰ 10 hours of video materials
🔗 COURSE LINK

Advaned data structures
By MIT
Teacher 👨‍🏫 : Prof. Erik Demaine
🎬 22 video lectures
⏰ 32h of video materials
🔗 Course link
🔗 Video lessons

Programming, Data Structures and Algorithms
Teacher 👨‍🏫 :Dr. P.P.Chakraborty
🎬 31video lecture
⏰ 21h of video materials
🔗COURSE LINK

Introduction to Algorithms and Data structures in C++
Rating⭐️: 4.2 out 5
Students 👨‍🎓 : 119,549
Duration ⏰ : 3hr 13min hours on-demand video
Teacher 👨‍🏫: Andrei Margeloiu
🔗 Course link

Data structures playlist
by WilliamFiset
🎬 14 video lessons
⏰ 9 hours worth of material
🔗 Courses link

Programming, Data Structures and Algorithms, IIT Madras
Teachers 👨‍🏫: Prof. Hema A Murthy, Dr. N S. Narayanaswamy, Prof. Shankar Balachandran
🎬61 video lectures
🔗 COURSE LINK

Data Structures Concepts & Singly Linked List Implementation
Rating⭐️: 4.3 out 5
🎬 33 lecture
⏰ 1hr 34min duration
👨‍🏫 Chaand Sheikh, Gaurav Bhorkar
🔗 COURSE LINK

Data Structures and Algorithms for Beginners
by Mosh, on YouTube
⏰ 1hr 18min duration
🔗 COURSE LINK


Data structures articles
🔗 Data structure with C article link
🔗 Data strictires javatpoint
🔗 GeeksForGeeks

Algorithms, Notes for professionals book
🔗 Book link


#datastructures
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Computer Science 61B, 002 - Spring 2015
Data structures
by UC Berkeley (University of California)


👨‍🏫 Teacher: Joshua A. Hug
🎬 37 video lessons
⏰ 35 hours
✅ Free

🔗 Course link

#datastructures #algorithms #cs #dsa
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ECS 36C: Data Structures, Algorithms, and Programming

ECS 36C is a course that I really enjoy teaching as it represents such a crucial experience in the students’ learning experience. It is the course that ends the introductory series and enables students to start taking most of the upper-division courses.

⏰ Free Online Course
🎬 Video lessons
Duration ⏰: 10 Weeks
🏃‍♂️ Self paced
👨‍🏫 Teacher: Joël Porquet-Lupine
Offered by: lupteach

🔗 Course link

#Data_Structure #Algorithms #dsa #data_structures_and_algorithms
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Apply Now👉🏻 Free Guidance for your Placement & Get Hired

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