Answer:
algorithm.
Explanation:
An algorithm can be defined as a standard formula or procedures which comprises of set of finite steps or instructions for solving a problem on a computer. The time complexity is a measure of the amount of time required by an algorithm to run till its completion of the task with respect to the length of the input.
Furthermore, the processing symbols and their functions used in developing an algorithm are oval (start or stop), diamond (decision-making), circle (on-page connector), parallelogram (input and output), rectangle (calculation), arrow (flow or direction) and pentagon (off-page connector).
Some of the characteristics of an algorithm include the following;
I. An algorithm can be written using pseudocode. A pseudocode refers to the description of the steps contained in an algorithm using a plain or natural language.
II. An algorithm can be visualized using flowcharts. A flowchart can be defined as a graphical representation of an algorithm for a process or workflow.
In conclusion, an algorithm is a sequence of precise instructions which result in a solution for solving problems using a computer system.
Answer:
Answer is given below
Explanation:
The index of the smallest value returned by function positionMin(),
and it is done by line "return minPosition;"
The input array is given as an argument in function selSort() and it is done by line "public static void selSort(int [] vals)" Here vals is input array argument.
Answer:
Change this code:
return <View style={[styles.container, backgroundColor: this.state.bg]}/>
for this code:
return <View style={[styles.container, {backgroundColor: this.state.bg}]}/>
Hey LenaNjaikoy,
What is your question, and what programming language is it associated with?
Thanks.
Answer:
The RAM capacity expressed in bytes is
512 million bytes
Explanation:
a) Data and Calculations:
RAM contains 256m words
Each word = 16 bits
1 bit = 0.125 byte
This means that each word will have 2 (16 * 0.125) bytes
Therefore, the RAM contains 256m * 2 = 512 million bytes
b) A bit is 0.125 bytes and a byte is eight times bigger than a bit. This implies that there are eight megabits in every megabyte, and one gigabyte is eight times bigger than one gigabit. The 512 million bytes above are about 488.3 gigabytes, since 1 gigabyte equals 1,024 megabytes or 1,046,576 kilobytes.
