This Presentation gives you all knowledge about #CPointers, #PointersInC.
The given slides are as follows:
1. Introduction of Pointers.
2. Systems to create a pointer in C.
3. Valid Pointer Examples in C.
4. Graphical representation of address assigning in c using pointer.
5. 1st Sample program of pointers in C.
6. Types of Pointers
7. NULL Pointer in C (Types of Pointer)
8. void Pointer in C (Types of Pointer)
9. Wild Pointer in C (Types of Pointer)
10. Changing value of variable using pointer
11. Update and Access value of variable using pointer in example.
12. Types of format specifies to print address in different format.
13. Advantages of Pointer in C.
14. Disadvantages of Pointer in C.
15. Pointers with Array using Programs. #pointerwitharray
16. Another Example of #pointerwitharray.
17. Relationship Between Arrays and Pointers.
18. Relationship Between Arrays and Pointers explanation with diagram.
19. Pointers and String. #PointersAndString
20. Function with Array Parameters using pointers.
21. Passing Pointers to Function or Pointer argument function. #PointerWithFunction
Type Conversion, Precedence and AssociativityAakash Singh
This presentation is about Type Conversion, Precedence and Associativity which are important concepts for problem solving in programming languages like C, C++, Java, etc. It will surely help you to improve your knowledge.
This Presentation gives you all knowledge about #CPointers, #PointersInC.
The given slides are as follows:
1. Introduction of Pointers.
2. Systems to create a pointer in C.
3. Valid Pointer Examples in C.
4. Graphical representation of address assigning in c using pointer.
5. 1st Sample program of pointers in C.
6. Types of Pointers
7. NULL Pointer in C (Types of Pointer)
8. void Pointer in C (Types of Pointer)
9. Wild Pointer in C (Types of Pointer)
10. Changing value of variable using pointer
11. Update and Access value of variable using pointer in example.
12. Types of format specifies to print address in different format.
13. Advantages of Pointer in C.
14. Disadvantages of Pointer in C.
15. Pointers with Array using Programs. #pointerwitharray
16. Another Example of #pointerwitharray.
17. Relationship Between Arrays and Pointers.
18. Relationship Between Arrays and Pointers explanation with diagram.
19. Pointers and String. #PointersAndString
20. Function with Array Parameters using pointers.
21. Passing Pointers to Function or Pointer argument function. #PointerWithFunction
Type Conversion, Precedence and AssociativityAakash Singh
This presentation is about Type Conversion, Precedence and Associativity which are important concepts for problem solving in programming languages like C, C++, Java, etc. It will surely help you to improve your knowledge.
C lecture 4 nested loops and jumping statements slideshareGagan Deep
Nested Loops and Jumping Statements(Loop Control Statements), Goto statement in C, Return Statement in C Exit statement in C, For Loops with Nested Loops, While Loop with Nested Loop, Do-While Loop with Nested Loops, Break Statement, Continue Statement : visit us at : www.rozyph.com
An operator is a symbol that tells the compiler to perform specific mathematical or logical manipulations.
C language supports a rich set of built-in operators. An operator is a symbol that tells the compiler to perform certain mathematical or logical manipulations. Operators are used in program to manipulate data and variables.
C lecture 4 nested loops and jumping statements slideshareGagan Deep
Nested Loops and Jumping Statements(Loop Control Statements), Goto statement in C, Return Statement in C Exit statement in C, For Loops with Nested Loops, While Loop with Nested Loop, Do-While Loop with Nested Loops, Break Statement, Continue Statement : visit us at : www.rozyph.com
An operator is a symbol that tells the compiler to perform specific mathematical or logical manipulations.
C language supports a rich set of built-in operators. An operator is a symbol that tells the compiler to perform certain mathematical or logical manipulations. Operators are used in program to manipulate data and variables.
An operator is a symbol that tells the computer to perform certain mathematical or logical manipulation on data stored in variables. The variables that are operated are termed as operands.
C operators can be classified into a number of categories. They include:
1. Arithmetic operators
2. Relational operators
3. Logical operators
4. Assignment operator
5. Increment and decrement operators
6. Conditional operator
7. Bitwise operators
8. Special operators
Now, let us discuss each category in detail.
18 css101j pps unit 2
Relational and logical Operators - Condition Operators, Operator Precedence - Expressions with pre / post increment operator - Expression with conditional and assignment operators - If statement in expression - L value and R value in expression -
Control Statements – if and else - else if and nested if, switch case - Iterations, Conditional and Unconditional branching
For loop - while loop - do while, goto, break, continue
Array Basic and Types - Array Initialization and Declaration - Initialization: one Dimensional Array - Accessing, Indexing one Dimensional Array Operations - One Dimensional Array operations - Array Programs – 1D
This Presentation is useful to make PPT on the topic "Servlet and Servlet Life Cycle" in Advanced Java. This Presentation is also useful to study this topic.
This Presentation is used to create PPT on the topic "Chomsky Normal Form" in Theory of Computation. This presentation is also useful to study this topic.
This Presentation is useful to study about GSM means Global System for Mobile Communication. This Presentation is also useful to make PPT on this topic.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
4. Type Conversion
When an operator has operands of different
types, they are converted to a common type, this
known as type casting or type conversion.
Typecasting is making a variable of one data type
to act like another data type such as an int to
float.
5. Implicit Type Casting
C automatically converts any intermediates
values to the proper type so that the expression
can be evaluated without losing any significance.
This automatic conversion is known as implicit
type conversion.
The lower type is automatically converted to the
higher type before the operation proceeds. The
result is higher type.
6. Example:
If one operands is int and other is float then int
will be converted to float.
If one operands is float and other is long double
then float will be converted to long double.
Thus conversion happens from low data type to
high data type so that information is not lost. The
conversion hierarchy is shown next slide.
7.
8. Explicit Type Casting
Sometimes we want to force a type conversion in
a way that is different from automatic conversion.
The process of such a local conversion or casting
is known as explicit casting.
The general form of cast is: (type-name)
expression.
Where type-name is one of the standard C data
type. The expression may be constant, variable,
or an expression.
9. Example
#include<stdio.h>
int main()
{
int sum=47, n=10;
float avg;
avg=sum / n;
printf(“Result of Implicit Type Casting: %f”, avg);
avg=(float)sum / (float)n;
printf(“Result of Explicit Type Casting: %f”, avg);
return 0;
}
10. Output
Result of Implicit Type Casting: 4.000000
Result of Explicit Type Casting: 4.700000
11. Precedence
Precedence of an operator is its priority in an
expression for evaluation.
Operator precedence is why the expression 5 + 3
* 2 is calculated as 5 + (3 * 2), giving 11, and not
as (5 + 3) * 2, giving 16.
We say that the multiplication operator (*) has
higher "precedence" or "priority" than the
addition operator (+), so the multiplication must
be performed first.
12. Following table provides a complete list of operator, their
precedence level, and their rule of association. Rank 1 indicates
highest precedence level and 15 is the lowest.
13. Associativity
Associativity is the left-to-right or right-to-left
order for grouping operands to operators that
have the same precedence.
Operator associativity is why the expression 8 - 3 -
2 is calculated as (8 - 3) - 2, giving 3, and not as 8 -
(3 - 2), giving 7.
We say that the subtraction operator (-) is "left
associative", so the left subtraction must be
performed first. When we can't decide by
operator precedence alone in which order to
calculate an expression, we must use
associativity.
14. References
Inspiration from Prof. Nidhi Khatri and Prof. Keyur
Suthar
Notes of Computer Programming and Utilization
Text book of Computer Programming and
Utilization
Images from Google images
Some my own knowledge