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What are the drawbacks of the binary search?
The only drawback I know of is that binary search requires that the list already be sorted. So if you have a really large unsorted list than binary search would not be the best option.
What are some common array search algorithms used in computer science and how do they differ in terms of efficiency and implementation?
Some common array search algorithms in computer science include linear search, binary search, and hash table search. Linear search checks each element in the array one by one until the target element is found. It has a time complexity of O(n) where n is the number of elements in the array. Binary search is more efficient as it divides the array in half at each step, reducing the search space by half each time. It has a time complexity of O(log n) where n is the number of elements in the array. However, binary search requires the array to be sorted. Hash table search uses a hash function to map keys to values in a data structure called a hash table. It has an average time complexity of O(1) for searching, making it very efficient. However, hash table search may have collisions which can affect its efficiency. In terms of implementation, linear search is simple and easy to implement but may not be efficient for large arrays. Binary search is more complex to implement but is very efficient for sorted arrays. Hash table search requires additional data structures and functions to implement but provides fast search times for large datasets.
What are very large arrays used for?
Storing lots of data.
What are the advantages and disadvantages of binary search algorithms?
the major limitation of binary search is that there is a need of sorted array to perform binary search operation. if array is not sorted the output is either not correct or may be after a long number of steps and according to data structure the output should come in minimum number of steps.
What is a binary search and how is it used in computer science?
A binary search is a method used in computer science to efficiently find a target value within a sorted array or list. It works by repeatedly dividing the search interval in half until the target value is found or determined to be not in the array. This approach is faster than linear search for large datasets because it eliminates half of the remaining elements at each step.
Advantages of binary search over sequencial search?
Linear search takes linear time with a worst case of O(n) for n items, and an average of O(n/2). Binary search takes logarithmic time, with a worst and average case of O(n log n). Binary search is therefore faster on average.
Where are some large arrays located?
That's what & operator is good for: gives you the address of the variables.
Why would you write a program using array processing linear search and binary search of an array?
A linear search is effective when the order of elements in an array are not sorted by the value you are looking for. A binary search is effective when the order of elements is sorted by the value you are looking for.Linear search sample data: 8 3 9 12 4 10 38 2 1 93 56 34Binary search sample data: 1 2 3 4 8 9 10 12 34 38 56 93In the first set of data, unsorted data cannot be searched using binary search. To find the value 38, a program must go through each element until it locates the 7th element; this is a total of 7 iterations. This method is effective when data is constantly being added and removed, and the overhead of a sorting algorithm would be less efficient than a binary search.In the second set of data, the value 38 can be found by binary search. In the first iteration, a binary halfway point is found (we will choose element 6). Since 9 is less than 38, we know we need to go up. There are six remaining values, so we look at the 9th element (starting from the 6th element, there are six more, so we go half-way, 3 more, a total of 9). Here, we see the value is 34, still less than 38. There are three values remaining, so we go up 2 more. For the third iteration, the value is 56, which is more than our target of 38. Since we advanced 2 last time, we will decrease by 1 this time, and our fourth iteration will find the value 38.As a matter of fact, in this data set, we will always find our answer in at most 4 iterations, while in the linear search, only the first 4 elements have a chance of being more efficient than the binary search. The problem then comes to down to if the sorting and binary search combined is faster than the linear search. For large data sets that are mostly static, binary searching is preferred. For rapidly changing data sets that would need constant sorting, a linear search may be preferred.Note that if the data insertion algorithm maintains the sort order (by inserting each element at the correct index in memory), binary searching will likely be faster in the majority of cases. One can use a binary search for data insertion points, keeping the cost of data insertion minimized (but not as efficient as simply appending to the end) while maximizing search capabilities.
What is difference between Bac arrays and DNA arrays?
BAC (Bacterial Artificial Chromosome) arrays are a type of DNA arrays. BAC arrays are usually used for a technique called array CGH (Comparative Genomic Hybridisation) which is used to identify gross deletions or amplifications in DNA (which for example is common in cancer). DNA arrays include BAC arrays but also oligo, cDNA, and promoter arrays. Oligo and cDNA arrays are typically used for gene expression analysis (looking to see how heavily expressed each gene is). Oligo arrays can also be used for SNP (single nucleotide polymorphism) analysis. Promoter arrays are used to identify transcription factor binding sites.
Any large single block of data stored in a database such as a picture or sound file which does not include record fields and cannot be directly searched by the databases search engine?
A binary large object (BLOB) is a data type used to store large amounts of binary data in a database, such as images or audio files. BLOBs are typically indexed but are not directly searchable by the database search engine, as they are stored as a single entity rather than separate fields. To retrieve or access the contents of a BLOB, you typically need to reference it using its identifier.
What condition linear search is better than binary search?
In linear search, the searched key will be compared with each element of the array from the beginning and terminate comparing when the searched key is found or the array is reached. Here time complexity in worst case and average case is O (n). To find an element quickly we use divide and conquer method by using binary search algorithm. Here probed region is reduced from n to n/2. Time complexity is O (log2 n), but here the array should be sorted. But in interpolation search the probed region is reduced from n to n1/2. If the array elements are uniformly distributed the average case complexity is O (log2 (log2n)). Am also searching for hashing to compare & contrast with above.
Advantage and distadvantage in hash table?
ANSWER A hash table is a way to find data in an array, when you have a known key and an unknown value that corresponds to the key. You use a hashing function on the key to create an index into the hash table containing the value. In the ideal case, this directly returns the corresponding value. In the usual case, a collision can occur. This means that the hashed key points to multiple possible values. A hash table is usually used on large arrays that would take a long time to search using other methods. A hash table can be very fast and use very little memory, and does not require the array to be sorted. The source code is slightly more complicated than some search methods. With a poorly designed hashing function when the hashed keys do not correspond one-to-one with the values, the secondary search after a hash collision can take a large amount of time.
