Logic
I paid attention to the lecture. Not sure where it is in the book. If you find it please feel free to edit this.
The running time of algorithms refers to how long it takes for an algorithm to complete a task. It impacts the efficiency of computational processes by determining how quickly a program can produce results. Algorithms with shorter running times are more efficient as they can process data faster, leading to quicker outcomes and better performance.
Profiling is the process of executing a correct program on different data sets to measure the time and space that is takes to compute the results.
The false positive rate in a Bloom filter is important because it measures the likelihood of the filter incorrectly indicating that an item is present when it is not. A higher false positive rate means there is a greater chance of getting incorrect results from the filter, reducing its accuracy.
When implementing a C program to simulate a Poisson distribution, key considerations include understanding the Poisson distribution formula, generating random numbers using a Poisson distribution, and ensuring the program accurately reflects the expected distribution outcomes. Additionally, it is important to validate the results of the simulation and optimize the program for efficiency.
Dijkstra's algorithm does not work with negative weights because it assumes that all edge weights are non-negative. Negative weights can cause the algorithm to give incorrect results or get stuck in an infinite loop.
logic
Logic error.
Semantic errors
A fatal error would highlight a problem with your program. A nonfatal error can't be detected by the program and may produce incorrect results.
Logical errors :- These errors occur because of logically incorrect instructions in the program. Let us assume that in a 1000 line program, if there should be an instruction, which multiplies two numbers and is wrongly written to perform addition. This logically incorrect instruction may produce wrong results. Detecting such errors are difficult.
You could call it a bug in general but more specifically code with no syntax errors (i.e. it compiles and runs) but doesn't produce the output you expect would be called a semantic error.
All transformations are not commutative.
Common errors associated with the err.01 code in computer programming include syntax errors, missing or incorrect variables, and logic errors in the code. These errors can cause the program to malfunction or produce unexpected results.
You would probably need to use Microsoft office to get these results. I think there is an accounting program in the spreadsheet program of Microsoft office.
Incorrect horizontal angulation will result in overlapped contacts.
Incorrect coding results in inappropriate repayment of Medicare part B claims.
An algorithmic fault in a program refers to an error or mistake in the logic or approach used to solve a problem. It can lead to incorrect results or unexpected behavior in the program, even if the code is syntactically correct. Fixing algorithmic faults typically involves revisiting the design or approach used to solve a problem in the program.