Este documento é a edição número 37 do e-zine literário Chicos, publicado em fevereiro de 2013. Contém resumos e trechos de obras de diversos autores, como o poeta iraquiano Badr Shakir Al Sayyab, o escritor paulistano Ferréz e o poeta argentino Claudio Sesín. Também apresenta colaborações de Gabriel Franco, Sebastião Nozza Bielli Lotti e Fernando Abritta.
Algorithm Class training institute in KPHB, Hyderabad, Python Training in Hyderabad Java Training Institutes in Hyderabad, python online training in hyderabad, java online training in hyderabad, C/C++ Training Institutes in Hyderabad
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
Este documento é a edição número 37 do e-zine literário Chicos, publicado em fevereiro de 2013. Contém resumos e trechos de obras de diversos autores, como o poeta iraquiano Badr Shakir Al Sayyab, o escritor paulistano Ferréz e o poeta argentino Claudio Sesín. Também apresenta colaborações de Gabriel Franco, Sebastião Nozza Bielli Lotti e Fernando Abritta.
Algorithm Class training institute in KPHB, Hyderabad, Python Training in Hyderabad Java Training Institutes in Hyderabad, python online training in hyderabad, java online training in hyderabad, C/C++ Training Institutes in Hyderabad
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document describes a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics like searching, sorting, hashing, tries, suffix trees, dynamic programming, red-black trees, splay trees, and ternary search trees. Students will learn concepts and solve interview problems for each data structure. The goal is to help students evaluate algorithms, write efficient code, decompose problems, and improve programming and problem solving skills for interviews. Contact details are provided at the end for more information.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey ...SirmaDuztepeliler
"Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey Toward Sustainability"
The booklet of my master’s thesis at the Department of Architecture and Civil Engineering at Chalmers University of Technology. (Gothenburg, Sweden)
This thesis explores the transformation of the vacated (2023) IKEA store in Kållered, Sweden, into a "Reuse Hub" addressing various user types. The project aims to create a model for circular and sustainable economic practices that promote resource efficiency, waste reduction, and a shift in societal overconsumption patterns.
Reuse, though crucial in the circular economy, is one of the least studied areas. Most materials with reuse potential, especially in the construction sector, are recycled (downcycled), causing a greater loss of resources and energy. My project addresses barriers to reuse, such as difficult access to materials, storage, and logistics issues.
Aims:
• Enhancing Access to Reclaimed Materials: Creating a hub for reclaimed construction materials for both institutional and individual needs.
• Promoting Circular Economy: Showcasing the potential and variety of reusable materials and how they can drive a circular economy.
• Fostering Community Engagement: Developing spaces for social interaction around reuse-focused stores and workshops.
• Raising Awareness: Transforming a former consumerist symbol into a center for circular practices.
Highlights:
• The project emphasizes cross-sector collaboration with producers and wholesalers to repurpose surplus materials before they enter the recycling phase.
• This project can serve as a prototype for reusing many idle commercial buildings in different scales and sizes.
• The findings indicate that transforming large vacant properties can support sustainable practices and present an economically attractive business model with high social returns at the same time.
• It highlights the potential of how sustainable practices in the construction sector can drive societal change.
More Related Content
More from http://algorithmtraining.com/advanced-python-training-hyderabad/
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document describes a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics like searching, sorting, hashing, tries, suffix trees, dynamic programming, red-black trees, splay trees, and ternary search trees. Students will learn concepts and solve interview problems for each data structure. The goal is to help students evaluate algorithms, write efficient code, decompose problems, and improve programming and problem solving skills for interviews. Contact details are provided at the end for more information.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structure.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
The document provides details about a data structures training course offered by Algorithm Class in Hyderabad, India. The course covers fundamental data structures like arrays, strings, pointers, linked lists, stacks, queues, trees, and graphs. It also includes advanced topics such as searching, sorting, hashing, tries, suffix trees, and dynamic programming. Students will learn concepts, implementations, and how to solve interview problems for each data structure. The goal is to help students evaluate code quality, write efficient programs, and solve problems by choosing the right data structures and algorithms.
More from http://algorithmtraining.com/advanced-python-training-hyderabad/ (20)
Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey ...SirmaDuztepeliler
"Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey Toward Sustainability"
The booklet of my master’s thesis at the Department of Architecture and Civil Engineering at Chalmers University of Technology. (Gothenburg, Sweden)
This thesis explores the transformation of the vacated (2023) IKEA store in Kållered, Sweden, into a "Reuse Hub" addressing various user types. The project aims to create a model for circular and sustainable economic practices that promote resource efficiency, waste reduction, and a shift in societal overconsumption patterns.
Reuse, though crucial in the circular economy, is one of the least studied areas. Most materials with reuse potential, especially in the construction sector, are recycled (downcycled), causing a greater loss of resources and energy. My project addresses barriers to reuse, such as difficult access to materials, storage, and logistics issues.
Aims:
• Enhancing Access to Reclaimed Materials: Creating a hub for reclaimed construction materials for both institutional and individual needs.
• Promoting Circular Economy: Showcasing the potential and variety of reusable materials and how they can drive a circular economy.
• Fostering Community Engagement: Developing spaces for social interaction around reuse-focused stores and workshops.
• Raising Awareness: Transforming a former consumerist symbol into a center for circular practices.
Highlights:
• The project emphasizes cross-sector collaboration with producers and wholesalers to repurpose surplus materials before they enter the recycling phase.
• This project can serve as a prototype for reusing many idle commercial buildings in different scales and sizes.
• The findings indicate that transforming large vacant properties can support sustainable practices and present an economically attractive business model with high social returns at the same time.
• It highlights the potential of how sustainable practices in the construction sector can drive societal change.
RPWORLD offers custom injection molding service to help customers develop products ramping up from prototypeing to end-use production. We can deliver your on-demand parts in as fast as 7 days.
Algorithm Class at KPHB C, C++,JAVA,DS Training Institute KPHB, Kukatpally, Hyderabad.
1. C C++ DS JAVA DATA STRUCTURES
TRAINING INSTITUTE KPHB HYDERABAD
Algorithm ClassMobile: +91-9963930865
https://sites.google.com/site/algorithmclass
ALGORITHM CLASSS
2. ALGORITHM CLASSS
Data Structures for interviews
Course details
By
Algorithm Class
Website
https://sites.google.com/site/algorithmclass
3. If you are strong enough in Data Structures, you can
evaluate the quality of a program
(Analysis of Algorithms: running time and memory space )
write fast programs with less memory usage
solve new problems efficiently by choosing appropriate data
structures and algorithms
Most importantly through this course you would be solving more
number of interview questions on data structures after each topic.
Importance of Data Structures
ALGORITHM CLASSS
4. To find in you…
How smart you are to pick the appropriate data structure for a given
problem
How strong you are on programming basics (DS)
How good you are to decompose problems
How quick you are to find solutions with a better logic
To test your programming skills
… etc.
Why interviewer concentrates more on DS
ALGORITHM CLASSS
6. CONCEPTS
Array and linked list implementation of a stack
create stack()
isempty()
push()
pop()
infix to post fix conversion
evaluate postfix expression
PROBLEMS
1. Check for balanced parentheses in an expression
2, Match brackets
3. check palindrome or not
4. Reverse a string
5. Sort stack
...etc
Stacks
ALGORITHM CLASSS
7. How to write recursive programs
Call flow analysis using call stack
Call flow analysis using recursion tree
Recursion
ALGORITHM CLASSS
9. CONCEPTS
a) Array and linked list implementation of a queue
create queue()
isempty()
insert()
remove()
b) circular queue
c) double ended queue
PROBLEMS
1. Queue using 2 stacks
2. Sort queue
3. Reverse Queue
...etc
Queues
ALGORITHM CLASSS
10. Single Linked list
Circular linked list
Double linked list
35 + interview problems on LLs
like ….
Find common node which is common to both the lists. You are allowed to traverse both the
lists only once.
delete a node p given in a linked list efficiently .....etc
Linked lists
ALGORITHM CLASSS
12. Tournament tree
How to find max element in the given elements
How to find max element and second max element element in the
given elements
Tournament tree data structure
Tournament tree
ALGORITHM CLASSS
13. Trees ADT
Binary Tree
Binary search tree
Preorder, Inorder and Postorder traversals
Construct tree from Inorder and Postorder traversal
Construct tree from Inorder and Preorder traversal
Interview questions on trees
Trees
ALGORITHM CLASSS
14. a) Tree terminology
b) General tree
c) expression tree
d) Binary Tree
e) Binary Search Trees
createtree()
setleft()
setRight()
createTree()
disposeTree()
FindKey()
findMin()
findMax()
f) Preorder, inorder and post order traversals
PreTraversal()
postTraversal()
inorderTrav()
Trees
ALGORITHM CLASSS
15. g) find inorder successor, predecessor
h) Construct original tree from given pre order and in order traversals.
Construct original tree from given post order and in order traversals.
i) Tree delete operation
j) AVL tree
30 + problems on trees
questions like
Find number of full nodes in a tree.
Function to return 1 if there exists a path from the root to a leaf whose values sum is
S otherwise ...etc
Trees
ALGORITHM CLASSS
16. Bubble sort
Insertion sort
Quick sort
Merge sort
Heap sort
Priority queue
Interview questions on sorting
1. given a binary digits like 001101 arrange the numbers such that zeroes should follow
1s ike 0001111.
2. Find Triplets of a+b+c=k in an array
etc
Sorting
ALGORITHM CLASSS
17. Binary search
Hash table
AVL trees
Interview questions on searching
Sorted array with duplicates write a function that returns the lowest index of an element x in
that array
... etc
Searching
ALGORITHM CLASSS
21. Detect Cycle in a graph
Topological sorting
Check Graph is bipartite or not
check the given graph is tree or not
Find the number of islands
.. etc
Graphs problems
ALGORITHM CLASSS
22. Introduction to dynamic programming
memorization (top down)
tabulation (Bottom up)
optimal sub structure
8 problems on dynamic programming
Dynamic Programming
ALGORITHM CLASSS